MAVIlab-Mizzou

Research

MAVI lab’s research is focused on the development of AI/ML-driven methods for image data analysis. The systems we develop are applied across various domains, including interdisciplinary collaborations to advance scientific discovery in life and material sciences, evidence-based medicine, and geospatial image analysis for applications such as aerial surveillance, disaster monitoring, and precision agriculture.

Mavi lab’s key scientific contributions and on-going research works in this performance period are:

Electron microscopy image analytics for autonomous material discovery: Mavi lab has been developing AI/ML-driven approaches for the automated characterization of micro and nano-scale materials. We have introduced several innovative methods that incorporate cutting-edge concepts such as weak supervision, self-supervision, and neural radiance fields. These techniques are crucial for predicting correlations between structural morphology and physical properties, enabling non-destructive measurement of material properties, providing real-time feedback during the material synthesis, and ultimately accelerating material discovery, design, and manufacturing. In addition to characterization, we have also developed novel neural style transfer pipelines that enabled generation of photo-realistic, structure-aware synthetic images of nano-scale materials. This generative AI pipeline allows the research community to generate large quantities of diverse training data at minimal cost, facilitating the development of more robust AI models. Together, our AI/ML-based methods for nano-scale material image analytics and synthesis represent significant advancements toward AI-driven material characterization and ultimately autonomous material discovery. These efforts have been funded through NSF and Army-ERDC grants.

Raw SEM image of a sample CNT forest and the output from CNTSegNet model
Raw SEM image of a sample CNT forest and the output from CNTSegNet model

Medical image analytics: Mavi lab has been developing AI/ML-driven approaches for automated analysis of medical image and video data. Our research in medical image analytics primarily centers on two key projects: the computational analysis of upper airway function and the study of microvascular remodeling. In collaboration with an interdisciplinary team of faculty, we have made significant contributions to the objective and quantitative assessment of upper airway speech and swallowing dysfunctions caused by neurological disorders. We have pioneered several innovative computer vision and machine learning methods and developed advanced image analysis pipelines to analyze diverse data modalities, from electron microscopy to endoscopy and CT/MRI. Additionally, we have created novel AI/ML-based methods for the automated extraction of blood and lymphatic vascular networks to enable quantitative morpho-dynamic characterization of cerebrovascular changes in the brain and dura mater. These medical image analysis methods and pipelines enable domain experts to shed light on important anatomical and functional changes and provide a more comprehensive understanding of neurological conditions. These efforts have been funded through NIH grants.

Biomedical Image Analytics through AI ML
Biomedical Image Analytics through AI/ML

Geospatial image analytics: Automated analysis of remote sensing images is a crucial first step for a wide range of applications, including navigation and mapping, surveillance, environmental monitoring, urban planning, and disaster response and management. As aerial imaging has become increasingly accessible and affordable, with platforms ranging from drones to satellites, the need for efficient image analysis has grown exponentially. Advances in AI/ML techniques offer significant opportunities to address this challenge more effectively and at scale. In our lab, we have been developing novel AI/ML and graph-based methods for analysis of geospatial data, with applications spanning from accurate building and road segmentation to more complex tasks like describing and predicting urban neighborhood patterns and forecasting crop performance and yield. Our methods incorporate custom deep learning network architectures and novel loss functions, allowing for more precise and scalable solutions. These research efforts have been supported by funding from the Army-ERDC.

Overlay of building and road segmentation using our novel Deep Learning based approach on pre- hurricane Helen satellite imagery.
Overlay of building and road segmentation using our novel Deep Learning based approach on pre- hurricane Helen satellite imagery.

Highlighted

Bag-of-graph-attributes and sparse graph structures for efficient UAV localization in complex environments
Bag-of-graph-attributes and sparse graph structures for efficient UAV localization in complex environments
Emma Bennett, Johanna R. Arredondo, Elena Sava, Ricky D. Massaro, Kannappan Palaniappan, Filiz Bunyak
Geospatial Informatics XV  ·  30 May 2025  ·  doi:10.1117/12.3056192

All

2025

Aerial visual localization through novel applications of Weisfeiler-Lehman graph embeddings
Aerial visual localization through novel applications of Weisfeiler-Lehman graph embeddings
Tom Winterton, Emma Bennett, Burak Atmaca, Sara Shojaei, Kannappan Palaniappan, Filiz Bunyak
Geospatial Informatics XV  ·  30 May 2025  ·  10.1117/12.3056196
Bag-of-graph-attributes and sparse graph structures for efficient UAV localization in complex environments
Bag-of-graph-attributes and sparse graph structures for efficient UAV localization in complex environments
Emma Bennett, Johanna R. Arredondo, Elena Sava, Ricky D. Massaro, Kannappan Palaniappan, Filiz Bunyak
Geospatial Informatics XV  ·  30 May 2025  ·  doi:10.1117/12.3056192
Adaptive Structure-Aware Connectivity-Preserving Loss for Improved Road Segmentation in Remote Sensing Images
Adaptive Structure-Aware Connectivity-Preserving Loss for Improved Road Segmentation in Remote Sensing Images
Sara Shojaei, Trevor Bohl, Kannappan Palaniappan, Filiz Bunyak
2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)  ·  28 Feb 2025  ·  doi:10.1109/WACVW65960.2025.00134

2024

CNT forest self-assembly insights from in-situ ESEM synthesis
CNT forest self-assembly insights from in-situ ESEM synthesis
Ramakrishna Surya, Gordon L. Koerner, Taher Hajilounezhad, Kaveh Safavigerdini, Martin Spies, Prasad Calyam, Filiz Bunyak, Kannappan Palaniappan, Matthew R. Maschmann
Carbon  ·  01 Oct 2024  ·  doi:10.1016/j.carbon.2024.119439
Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing
Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing
Mauro Lemus Alarcon, Upasana Roy, Anirudh Kambhampati, Nguyen Nguyen, Minasadat Attari, Ramakrishna Surya, Filiz Bunyak, Matthew Maschmann, Kannappan Palaniappan, Prasad Calyam
2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)  ·  15 May 2024  ·  doi:10.1109/ICHMS59971.2024.10555867
DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation
DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation
Gani Rahmon, Kannappan Palaniappan, Imad Eddine Toubal, Filiz Bunyak, Raghuveer Rao, Guna Seetharaman
International Journal of Computer Vision  ·  01 Mar 2024  ·  doi:https://doi.org/10.1007/s11263-023-01910-x

2023

Predicting Mechanical Properties of Carbon Nanotube CNT Images Using Multi-Layer Synthetic Finite Element Model Simulations
Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations
Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
2023 IEEE International Conference on Image Processing (ICIP)  ·  08 Oct 2023  ·  doi:10.1109/ICIP49359.2023.10222020
DFT-CAM: Discrete Fourier Transform Driven Class Activation Map
DFT-CAM: Discrete Fourier Transform Driven Class Activation Map
Yang Yang Wang, Filiz Bunyak
2023 IEEE International Conference on Image Processing (ICIP)  ·  08 Oct 2023  ·  doi:10.1109/ICIP49359.2023.10222403
Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images
Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images
Minasadat Attari, Nguyen P. Nguyen, Kannappan Palaniappan, Filiz Bunyak
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  27 Sep 2023  ·  doi:10.1109/AIPR60534.2023.10440665
Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests
Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests
Prashanth Reddy Kotha, Minasadat Attari, Matthew Maschmann, Filiz Bunyak
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  27 Sep 2023  ·  doi:10.1109/AIPR60534.2023.10440707
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks
Nguyen P. Nguyen, Ramakrishna Surya, Prasad Calyam, Kannappan Palaniappan, Matthew Maschmann, Filiz Bunyak
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  ·  01 Jun 2023  ·  doi:10.1109/cvprw59228.2023.00345
Corneal injury is associated with stromal and vascular alterations within cranial dura mater
Corneal injury is associated with stromal and vascular alterations within cranial dura mater
Olga V. Glinskii, Vladislav V. Glinsky, Leike Xie, Filiz Bunyak, Vladimir V. Glinskii, Sunilima Sinha, Suneel Gupta, Renato V. Iozzo, Rajiv R. Mohan
PLOS ONE  ·  20 Apr 2023  ·  doi:10.1371/journal.pone.0284082
Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery
Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery
Nguyen P. Nguyen, Ramakrishna Surya, Matthew Maschmann, Prasad Calyam, Kannappan Palaniappan, Filiz Bunyak
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-25085-9_24

2022

Time-dependent in situ structural and cellular aberrations in rabbit cornea in vivo after mustard gas exposure
Time-dependent in situ structural and cellular aberrations in rabbit cornea in vivo after mustard gas exposure
Nishant R. Sinha, Ratnakar Tripathi, Praveen K. Balne, Sydney L. Green, Prashant R. Sinha, Filiz Bunyak, Elizabeth A. Giuliano, Shyam S. Chaurasia, Rajiv R. Mohan
Experimental Eye Research  ·  01 Nov 2022  ·  doi:10.1016/j.exer.2022.109247
Axon and Myelin Sheath Segmentation in Electron Microscopy Images using Meta Learning
Axon and Myelin Sheath Segmentation in Electron Microscopy Images using Meta Learning
Nguyen P. Nguyen, Stephanie Lopez, Catherine L. Smith, Teresa E. Lever, Nicole L. Nichols, Filiz Bunyak
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  11 Oct 2022  ·  doi:10.1109/AIPR57179.2022.10092238
Remote Instrumentation Science Environment for Intelligent Image Analytics
Remote Instrumentation Science Environment for Intelligent Image Analytics
Mauro Lemus Alarcon, Songjie Wang, Nguyen Nguyen, Ashish Pandey, Filiz Bunyak, Matthew Maschmann, Kannappan Palaniappan, Prasad Calyam
2022 IEEE 18th International Conference on e-Science (e-Science)  ·  01 Oct 2022  ·  doi:10.1109/eScience55777.2022.00023
A Strength Endurance Exercise Paradigm Mitigates Deficits in Hypoglossal-Tongue Axis Function, Strength, and Structure in a Rodent Model of Hypoglossal Motor Neuron Degeneration
A Strength Endurance Exercise Paradigm Mitigates Deficits in Hypoglossal-Tongue Axis Function, Strength, and Structure in a Rodent Model of Hypoglossal Motor Neuron Degeneration
Erika R. Murphy, Rebecca Thompson, Kate L. Osman, Chandler Haxton, Margaret Brothers, …, Mojgan Golzy, Filiz Bunyak, Lixin Ma, Nicole L. Nichols, Teresa E. Lever
Frontiers in Neuroscience  ·  30 Jun 2022  ·  doi:10.3389/fnins.2022.869592
LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos
LARNet-STC: Spatio-temporal orthogonal region selection network for laryngeal closure detection in endoscopy videos
Yang Yang Wang, Ali S. Hamad, Kannappan Palaniappan, Teresa E. Lever, Filiz Bunyak
Computers in Biology and Medicine  ·  01 May 2022  ·  doi:10.1016/j.compbiomed.2022.105339
Impact of Limb Phenotype on Tongue Denervation Atrophy, Dysphagia Penetrance, and Survival Time in a Mouse Model of ALS
Impact of Limb Phenotype on Tongue Denervation Atrophy, Dysphagia Penetrance, and Survival Time in a Mouse Model of ALS
Marissa Mueller, Rebecca Thompson, Kate L. Osman, Ellyn Andel, Chandler A. DeJonge, …, Zola Stephenson, Ali Hamad, Filiz Bunyak, Nicole L. Nichols, Teresa E. Lever
Dysphagia  ·  15 Apr 2022  ·  doi:10.1007/s00455-022-10442-4
Decorin regulates collagen fibrillogenesis during corneal wound healing in mouse in vivo
Decorin regulates collagen fibrillogenesis during corneal wound healing in mouse in vivo
Suneel Gupta, Filiz Buyank, Nihant R. Sinha, DeAna G. Grant, Prashant R. Sinha, Renato V. Iozzo, Shyam S. Chaurasia, Rajiv R. Mohan
Experimental Eye Research  ·  01 Mar 2022  ·  doi:10.1016/j.exer.2022.108933

2021

Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking
Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking
Noor Al-Shakarji, Ke Gao, Filiz Bunyak, Hadi Aliakbarpour, Erik Blasch, Priya Narayaran, Guna Seetharaman, Kannappan Palaniappan
2021 IEEE 24th International Conference on Information Fusion (FUSION)  ·  01 Nov 2021  ·  doi:10.23919/FUSION49465.2021.9626982
In-Situ Scanning Electron Microscope Chemical Vapor Deposition as a Platform for Nanomanufacturing Insights
In-Situ Scanning Electron Microscope Chemical Vapor Deposition as a Platform for Nanomanufacturing Insights
Gordon Koerner, Ramakrishna Surya, Kannappan Palaniappan, Prasad Calyam, Filiz Bunyak, Matthew R. Maschmann
Volume 2B: Advanced Manufacturing  ·  01 Nov 2021  ·  doi:10.1115/IMECE2021-73554
Advancing Laryngeal Adductor Reflex Testing Beyond Sensory Threshold Detection
Advancing Laryngeal Adductor Reflex Testing Beyond Sensory Threshold Detection
Teresa E. Lever, Ashley M. Kloepper, Ian Deninger, Ali Hamad, Bridget L. Hopewell, …, Filiz Bunyak, Bradford Zitsch, Brett Blake, Caitlin Vandell, Laura Dooley
Dysphagia  ·  22 Oct 2021  ·  doi:10.1007/s00455-021-10374-5
Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning
Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning
Yang Yang Wang, Ke Gaol, Ali Hamad, Brianna McCarthy, Ashley M. Kloepper, Teresa E. Lever, Filiz Bunyak
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  12 Oct 2021  ·  doi:10.1109/AIPR52630.2021.9762216
Mitochondria Instance Segmentation in Electron Microscopy Image Volumes using 3D Deep Learning Networks
Mitochondria Instance Segmentation in Electron Microscopy Image Volumes using 3D Deep Learning Networks
Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  12 Oct 2021  ·  doi:10.1109/AIPR52630.2021.9762176
Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images
Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images
Yang Yang Wang, O. V. Glinskii, Filiz Bunyak, Kannappan Palaniappan
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  12 Oct 2021  ·  doi:10.1109/AIPR52630.2021.9762193
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking
Rina Bao, Noor M. Al-Shakarji, Filiz Bunyak, Kannappan Palaniappan
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)  ·  01 Oct 2021  ·  doi:10.1109/ICCVW54120.2021.00375
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans
Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, …, Savvas Nicolaou, Tommi A. White, Filiz Bunyak, Dorin Comaniciu, Eli Gibson
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)  ·  01 Oct 2021  ·  doi:10.1109/ICCVW54120.2021.00059
Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning
Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning
Taher Hajilounezhad, Rina Bao, Kannappan Palaniappan, Filiz Bunyak, Prasad Calyam, Matthew R. Maschmann
npj Computational Materials  ·  19 Aug 2021  ·  doi:10.1038/s41524-021-00603-8
scp grasviq scp : an image analysis framework for automatically quantifying vein number and morphology in grass leaves
grasviq: an image analysis framework for automatically quantifying vein number and morphology in grass leaves
Janlo M. Robil, Ke Gao, Claire M. Neighbors, Michael Boeding, Francine M. Carland, Filiz Bunyak, Paula McSteen
The Plant Journal  ·  27 May 2021  ·  doi:10.1111/tpj.15299
Local Feature Performance Evaluation for Structure-From-Motion and Multi-View Stereo Using Simulated City-Scale Aerial Imagery
Local Feature Performance Evaluation for Structure-From-Motion and Multi-View Stereo Using Simulated City-Scale Aerial Imagery
Ke Gao, Hadi Aliakbarpour, Joshua Fraser, Koundinya Nouduri, Filiz Bunyak, Ricky Massaro, Guna Seetharaman, Kannappan Palaniappan
IEEE Sensors Journal  ·  15 May 2021  ·  doi:10.1109/JSEN.2020.3042810
DRPnet: automated particle picking in cryo-electron micrographs using deep regression
DRPnet: automated particle picking in cryo-electron micrographs using deep regression
Nguyen Phuoc Nguyen, Ilker Ersoy, Jacob Gotberg, Filiz Bunyak, Tommi A. White
BMC Bioinformatics  ·  08 Feb 2021  ·  doi:10.1186/s12859-020-03948-x
Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map
Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map
Md Maruf Hossain Shuvo, Yasmin M. Kassim, Filiz Bunyak, Olga V. Glinskii, Leike Xie, Vladislav V. Glinsky, Virginia H. Huxley, Mahesh M. Thakkar, Kannappan Palaniappan
2020 25th International Conference on Pattern Recognition (ICPR)  ·  10 Jan 2021  ·  doi:10.1109/ICPR48806.2021.9412122
Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation
Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation
Gani Rahmon, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan
2020 25th International Conference on Pattern Recognition (ICPR)  ·  10 Jan 2021  ·  doi:10.1109/ICPR48806.2021.9413211
Deep Realistic Novel View Generation for City-Scale Aerial Images
Deep Realistic Novel View Generation for City-Scale Aerial Images
Koundinya Nouduri, Ke Gao, Joshua Fraser, Shizeng Yao, Hadi AliAkbarpour, Filiz Bunyak, Kannappan Palaniappan
2020 25th International Conference on Pattern Recognition (ICPR)  ·  10 Jan 2021  ·  doi:10.1109/ICPR48806.2021.9412844

2020

Semi-automatic System for Rapid Annotation of Moving Objects in Surveillance Videos using Deep Detection and Multi-object Tracking Techniques
Semi-automatic System for Rapid Annotation of Moving Objects in Surveillance Videos using Deep Detection and Multi-object Tracking Techniques
Noor M. AL-Shakarji, Ekincan Ufuktepe, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  13 Oct 2020  ·  doi:10.1109/AIPR50011.2020.9425339
Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection
Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection
Gani Rahmon, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  13 Oct 2020  ·  doi:10.1109/AIPR50011.2020.9425078
SHREC 2020: Classification in cryo-electron tomograms
SHREC 2020: Classification in cryo-electron tomograms
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, …, Xiangrui Zeng, Min Xu, Nguyen P. Nguyen, Tommi White, Filiz Bunyak
Computers & Graphics  ·  01 Oct 2020  ·  doi:10.1016/j.cag.2020.07.010
Mosaicing of Dynamic Mesentery Video with Gradient Blending
Mosaicing of Dynamic Mesentery Video with Gradient Blending
Rumana Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, K. Palaniappan
2020 IEEE International Conference on Image Processing (ICIP)  ·  01 Oct 2020  ·  doi:10.1109/ICIP40778.2020.9191045
Ensemble Of Deep Cascades For Detection Of Laryngeal Adductor Reflex Events In Endoscopy Videos
Ensemble Of Deep Cascades For Detection Of Laryngeal Adductor Reflex Events In Endoscopy Videos
Ali S. Hamad, Yang Y. Wang, Teresa E. Lever, Filiz Bunyak
2020 IEEE International Conference on Image Processing (ICIP)  ·  01 Oct 2020  ·  doi:10.1109/ICIP40778.2020.9190792
Deep Learning Based Landmark Matching For Aerial Geolocalization
Deep Learning Based Landmark Matching For Aerial Geolocalization
Koundinya Nouduri, Filiz Bunyak, Shizeng Yao, Hadi Aliakbarpour, Sanjeev Agarwal, Raghuveer Rao, Kannappan Palaniappa
2020 IEEE International Conference on Image Processing (ICIP)  ·  01 Oct 2020  ·  doi:10.1109/ICIP40778.2020.9191342
Robust mosaicking of maize fields from aerial imagery
Robust mosaicking of maize fields from aerial imagery
Rumana Aktar, Dewi Endah Kharismawati, Kannappan Palaniappan, Hadi Aliakbarpour, Filiz Bunyak, Ann E. Stapleton, Toni Kazic
Applications in Plant Sciences  ·  01 Aug 2020  ·  doi:10.1002/aps3.11387
Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos
Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos
Yang Yang Wang, Ali S. Hamad, Teresa E. Lever, Filiz Bunyak
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Jul 2020  ·  doi:10.1109/EMBC44109.2020.9176149
Persistent Feeding and Swallowing Deficits in a Mouse Model of 22q11.2 Deletion Syndrome
Persistent Feeding and Swallowing Deficits in a Mouse Model of 22q11.2 Deletion Syndrome
Lauren Welby, Hailey Caudill, Gelila Yitsege, Ali Hamad, Filiz Bunyak, Irene E. Zohn, Thomas Maynard, Anthony-Samuel LaMantia, David Mendelowitz, Teresa E. Lever
Frontiers in Neurology  ·  31 Jan 2020  ·  doi:10.3389/fneur.2020.00004
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, …, Zhen Xie, Zheng Yang, Zhenyu Xu, Zhipeng Luo, Zhizhao Duan
Lecture Notes in Computer Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-66823-5_43
CorNet: Unsupervised Deep Homography Estimation for Agricultural Aerial Imagery
CorNet: Unsupervised Deep Homography Estimation for Agricultural Aerial Imagery
Dewi Endah Kharismawati, Hadi Ali Akbarpour, Rumana Aktar, Filiz Bunyak, Kannappan Palaniappan, Toni Kazic
Lecture Notes in Computer Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-65414-6_28

2019

Complex Non-sinus-associated Pachymeningeal Lymphatic Structures: Interrelationship With Blood Microvasculature
Complex Non-sinus-associated Pachymeningeal Lymphatic Structures: Interrelationship With Blood Microvasculature
Olga V. Glinskii, Virginia H. Huxley, Leike Xie, Filiz Bunyak, Kannappan Palaniappan, Vladislav V. Glinsky
Frontiers in Physiology  ·  31 Oct 2019  ·  doi:10.3389/fphys.2019.01364
Recurrent laryngeal nerve transection in mice results in translational upper airway dysfunction
Recurrent laryngeal nerve transection in mice results in translational upper airway dysfunction
Megan M. Haney, Ali Hamad, Henok G. Woldu, Michelle Ciucci, Nicole Nichols, Filiz Bunyak, Teresa E. Lever
Journal of Comparative Neurology  ·  18 Oct 2019  ·  doi:10.1002/cne.24774
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results
Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, …, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Zhuojin Sun
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  ·  01 Oct 2019  ·  doi:10.1109/ICCVW.2019.00028
Performance Evaluation of Semantic Video Compression using Multi-cue Object Detection
Performance Evaluation of Semantic Video Compression using Multi-cue Object Detection
Noor M. AL-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan
2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  01 Oct 2019  ·  doi:10.1109/AIPR47015.2019.9174601
Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning
Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning
Taher Hajilounezhad, Zakariya A. Oraibi, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan
2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  01 Oct 2019  ·  doi:10.1109/AIPR47015.2019.9316542
Facial expression recognition for monitoring neurological disorders based on convolutional neural network
Facial expression recognition for monitoring neurological disorders based on convolutional neural network
Gozde Yolcu, Ismail Oztel, Serap Kazan, Cemil Oz, Kannappan Palaniappan, Teresa E. Lever, Filiz Bunyak
Multimedia Tools and Applications  ·  23 Jul 2019  ·  doi:10.1007/s11042-019-07959-6
Automated Segmentation of the Vocal Folds in Laryngeal Endoscopy Videos Using Deep Convolutional Regression Networks
Automated Segmentation of the Vocal Folds in Laryngeal Endoscopy Videos Using Deep Convolutional Regression Networks
Ali Hamad, Megan Haney, Teresa E. Lever, Filiz Bunyak
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  ·  01 Jun 2019  ·  doi:10.1109/CVPRW.2019.00023
Deep learning-based face analysis system for monitoring customer interest
Deep learning-based face analysis system for monitoring customer interest
Gozde Yolcu, Ismail Oztel, Serap Kazan, Cemil Oz, Filiz Bunyak
Journal of Ambient Intelligence and Humanized Computing  ·  03 May 2019  ·  doi:10.1007/s12652-019-01310-5
DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software
DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software
Yang Yang Wang, Ke Gao, Ashley M. Kloepper, Yunxin Zhao, Mili Kuruvilla-Dugdale, Teresa E. Lever, Filiz Bunyak
2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)  ·  01 May 2019  ·  doi:10.1109/BHI.2019.8834506
DRPnet - Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
DRPnet - Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
Nguyen P. Nguyen, Jacob Gotberg, Ilker Ersoy, Filiz Bunyak, Tommi White
Cold Spring Harbor Laboratory  ·  23 Apr 2019  ·  doi:10.1101/616169
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H amp;E images
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images
Zahraa Al-Milaji, Ilker Ersoy, Adel Hafiane, Kannappan Palaniappan, Filiz Bunyak
Pattern Recognition Letters  ·  01 Mar 2019  ·  doi:10.1016/j.patrec.2017.09.015
Comparison of two cleaning and sterilization protocols of diamond burr tips used in debridement for canine superficial chronic corneal epithelial defects
Comparison of two cleaning and sterilization protocols of diamond burr tips used in debridement for canine superficial chronic corneal epithelial defects
Kayla C. Banks, David E. Stalla, Filiz E. Bunyak, Tommi A. White, Loren G. Schultz, Elizabeth A. Giuliano
Veterinary Ophthalmology  ·  04 Feb 2019  ·  doi:10.1111/vop.12632
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, …, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma
Lecture Notes in Computer Science  ·  01 Jan 2019  ·  doi:10.1007/978-3-030-11021-5_29
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos
Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan
arXiv  ·  01 Jan 2019  ·  doi:10.48550/arxiv.1907.01176
Image Analysis for Ophthalmology: Segmentation and Quantification of Retinal Vascular Systems
Image Analysis for Ophthalmology: Segmentation and Quantification of Retinal Vascular Systems
Kannappan Palaniappan, Filiz Bunyak, Shyam S. Chaurasia
Modeling and Simulation in Science, Engineering and Technology  ·  01 Jan 2019  ·  doi:10.1007/978-3-030-25886-3_22

2018

Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
Nguyen P. Nguyen, Ilker Ersoy, Tommi White, Filiz Bunyak
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  ·  01 Dec 2018  ·  doi:10.1109/BIBM.2018.8621224
Automated Quantification of Vocal Fold Motion in a Recurrent Laryngeal Nerve Injury Mouse Model
Automated Quantification of Vocal Fold Motion in a Recurrent Laryngeal Nerve Injury Mouse Model
Megan M. Haney, Ali Hamad, Emily Leary, Filiz Bunyak, Teresa E. Lever
The Laryngoscope  ·  26 Nov 2018  ·  doi:10.1002/lary.27609
UA-DETRAC 2018: Report of AVSS2018 amp; IWT4S Challenge on Advanced Traffic Monitoring
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring
Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, …, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, Yun-Su Chung
2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  ·  01 Nov 2018  ·  doi:10.1109/AVSS.2018.8639089
Multi-object Tracking Cascade with Multi-Step Data Association and Occlusion Handling
Multi-object Tracking Cascade with Multi-Step Data Association and Occlusion Handling
Noor M. Al-Shakarji, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan
2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  ·  01 Nov 2018  ·  doi:10.1109/AVSS.2018.8639321
Robust Multi-object Tracking for Wide Area Motion Imagery
Robust Multi-object Tracking for Wide Area Motion Imagery
Noor M. AL-Shakarji, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan
2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  01 Oct 2018  ·  doi:10.1109/AIPR.2018.8707377
Performance Evaluation of Feature Descriptors for Aerial Imagery Mosaicking
Performance Evaluation of Feature Descriptors for Aerial Imagery Mosaicking
Rumana Aktar, Hadi Aliakbarpour, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan
2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  01 Oct 2018  ·  doi:10.1109/AIPR.2018.8707402
Improving Nuclei Classification Performance in H amp;E Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network
Improving Nuclei Classification Performance in H&E Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network
Ali Hamad, Ilker Ersoy, Filiz Bunyak
2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  01 Oct 2018  ·  doi:10.1109/AIPR.2018.8707397
Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network
Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network
Rui Zheng, Lei Liu, Shulin Zhang, Chun Zheng, Filiz Bunyak, Ronald Xu, Bin Li, Mingzhai Sun
Biomedical Optics Express  ·  14 Sep 2018  ·  doi:10.1364/BOE.9.004863
Robust target tracking using adaptive color feature and likelihood fusion
Robust target tracking using adaptive color feature and likelihood fusion
Arnaud Bouix, Noor Al-Shakarji, Filiz Bunyak, Kannappan Palaniappan, Alban Chazot, Adel Hafiane, Ke Gao
Geospatial Informatics, Motion Imagery, and Network Analytics VIII  ·  27 Apr 2018  ·  doi:10.1117/12.2309807
Geospatial content summarization of UAV aerial imagery using mosaicking
Geospatial content summarization of UAV aerial imagery using mosaicking
Hadi AliAkbarpour, Toni Kazic, Guna Seetharaman, Kannappan Palaniappan, Rumana Aktar, Filiz Bunyak
Geospatial Informatics, Motion Imagery, and Network Analytics VIII  ·  27 Apr 2018  ·  doi:10.1117/12.2309417
A hybrid local and global multi-object tracking with semantic spatial and appearance modules
A hybrid local and global multi-object tracking with semantic spatial and appearance modules
Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan, Noor Al-Shakarji
Geospatial Informatics, Motion Imagery, and Network Analytics VIII  ·  27 Apr 2018  ·  doi:10.1117/12.2309315
iFER: facial expression recognition using automatically selected geometric eye and eyebrow features
iFER: facial expression recognition using automatically selected geometric eye and eyebrow features
Ismail Oztel, Gozde Yolcu, Cemil Oz, Serap Kazan, Filiz Bunyak
Journal of Electronic Imaging  ·  05 Mar 2018  ·  doi:10.1117/1.JEI.27.2.023003
Flexible Hinges in Bacterial Chemoreceptors
Flexible Hinges in Bacterial Chemoreceptors
Narahari Akkaladevi, Filiz Bunyak, David Stalla, Tommi A. White, Gerald L. Hazelbauer
Journal of Bacteriology  ·  01 Mar 2018  ·  doi:10.1128/JB.00593-17
Deep learning approaches in electron microscopy imaging for mitochondria segmentation
Deep learning approaches in electron microscopy imaging for mitochondria segmentation
Ismail Oztel, Gozde Yolcu, Ilker Ersoy, Tommi A. White, Filiz Bunyak
International Journal of Data Mining and Bioinformatics  ·  01 Jan 2018  ·  doi:10.1504/IJDMB.2018.096398

2017

Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network
Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network
Ismail Oztel, Gozde Yolcu, Ilker Ersoy, Tommi White, Filiz Bunyak
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  ·  01 Nov 2017  ·  doi:10.1109/BIBM.2017.8217827
Deep learning-based facial expression recognition for monitoring neurological disorders
Deep learning-based facial expression recognition for monitoring neurological disorders
Gozde Yolcu, Ismail Oztel, Serap Kazan, Cemil Oz, Kannappan Palaniappan, Teresa E. Lever, Filiz Bunyak
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  ·  01 Nov 2017  ·  doi:10.1109/BIBM.2017.8217907
Vehicle Tracking in Wide Area Motion Imagery using KC- LoFT Multi-Feature Discriminative Modeling
Vehicle Tracking in Wide Area Motion Imagery using KC- LoFT Multi-Feature Discriminative Modeling
Noor M. Al-Shakarji, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan
2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  01 Oct 2017  ·  doi:10.1109/AIPR.2017.8457953
Museed: A mobile image analysis application for plant seed morphometry
Museed: A mobile image analysis application for plant seed morphometry
Ke Gao, Tommi White, Kannappan Palaniappan, Michele Warmund, Filiz Bunyak
2017 IEEE International Conference on Image Processing (ICIP)  ·  01 Sep 2017  ·  doi:10.1109/ICIP.2017.8296798
UA-DETRAC 2017: Report of AVSS2017 amp; IWT4S Challenge on Advanced Traffic Monitoring
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring
Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, …, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  ·  01 Aug 2017  ·  doi:10.1109/AVSS.2017.8078560
Robust multi-object tracking with semantic color correlation
Robust multi-object tracking with semantic color correlation
Noor M. Al-Shakarji, Guna Seetharaman, Filiz Bunyak, Kannappan Palaniappan
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  ·  01 Aug 2017  ·  doi:10.1109/AVSS.2017.8078507
Nucleus Classification in Colon Cancer H amp;E Images using Deep Learning
Nucleus Classification in Colon Cancer H&E Images using Deep Learning
Ali Hamad, Filiz Bunyak, Ilker Ersoy
Microscopy and Microanalysis  ·  01 Jul 2017  ·  doi:10.1017/S1431927617007541
Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding
Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding
Filiz Bunyak, Naru Shiraishi, Kannappan Palaniappan, Teresa E. Lever, Limor Avivi-Arber, Kazutaka Takahashi
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  ·  01 Jul 2017  ·  doi:10.1109/EMBC.2017.8036891
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics
Mahdieh Poostchi, Kannappan Palaniappan, Da Li, Michela Becchi, Filiz Bunyak, Guna Seetharaman
arXiv  ·  01 Jan 2017  ·  doi:10.48550/arxiv.1711.01919

2016

Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering
Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering
Kannappan Palaniappan, Mahdieh Poostchi, Hadi Aliakbarpour, Raphael Viguier, Joshua Fraser, …, Arslan Basharat, Steve Suddarth, Erik Blasch, Raghuveer M. Rao, Guna Seetharaman
2016 23rd International Conference on Pattern Recognition (ICPR)  ·  01 Dec 2016  ·  doi:10.1109/ICPR.2016.7900065
CS-LoFT: Color and scale adaptive tracking using max-pooling with bhattacharyya distance
CS-LoFT: Color and scale adaptive tracking using max-pooling with bhattacharyya distance
Noor M. AL-Shakarji, Filiz Bunyak, Guna Seetharamany, Kannappan Palaniappan
2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  ·  01 Oct 2016  ·  doi:10.1109/AIPR.2016.8010604
Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video
Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video
Mahdieh Poostchi, Hadi Aliakbarpour, Raphael Viguier, Filiz Bunyak, Kannappan Palaniappan, Guna Seetharaman
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  ·  01 Jun 2016  ·  doi:10.1109/CVPRW.2016.196
Development of a novel in vivo corneal fibrosis model in the dog
Development of a novel in vivo corneal fibrosis model in the dog
K.M. Gronkiewicz, E.A. Giuliano, K. Kuroki, F. Bunyak, A. Sharma, L.B.C. Teixeira, C.W. Hamm, R.R. Mohan
Experimental Eye Research  ·  01 Feb 2016  ·  doi:10.1016/j.exer.2015.09.010
The Visual Object Tracking VOT2016 Challenge Results
The Visual Object Tracking VOT2016 Challenge Results
Matej Kristan, Aleš Leonardis, Jiři Matas, Michael Felsberg, Roman Pflugfelder, …, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi
Lecture Notes in Computer Science  ·  01 Jan 2016  ·  doi:10.1007/978-3-319-48881-3_54
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results
Michael Felsberg, Matej Kristan, Jiři Matas, Aleš Leonardis, Roman Pflugfelder, …, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He
Lecture Notes in Computer Science  ·  01 Jan 2016  ·  doi:10.1007/978-3-319-48881-3_55

2015

The Visual Object Tracking VOT2015 Challenge Results
The Visual Object Tracking VOT2015 Challenge Results
2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  ·  01 Dec 2015  ·  doi:10.1109/ICCVW.2015.79
Automatic Video Content Summarization Using Geospatial Mosaics of Aerial Imagery
Automatic Video Content Summarization Using Geospatial Mosaics of Aerial Imagery
Raphael Viguier, Chung Ching Lin, Hadi AliAkbarpour, Filiz Bunyak, Sharathchandra Pankanti, Guna Seetharaman, Kannappan Palaniappan
2015 IEEE International Symposium on Multimedia (ISM)  ·  01 Dec 2015  ·  doi:10.1109/ISM.2015.124
A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H amp;E images
A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images
Filiz Bunyak, Adel Hafiane, Zahraa Al-Milaji, Ilker Ersoy, Anoop Haridas, Kannappan Palaniappan
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  ·  01 Nov 2015  ·  doi:10.1109/BIBM.2015.7359726
Resilient mobile cognition: Algorithms, innovations, and architectures
Resilient mobile cognition: Algorithms, innovations, and architectures
R. Viguier, C.-C. Lin, K. Swaminathan, A. Vega, A. Buyuktosunoglu, …, P. Bose, H. Akbarpour, F. Bunyak, K. Palaniappan, G. Seetharaman
2015 33rd IEEE International Conference on Computer Design (ICCD)  ·  01 Oct 2015  ·  doi:10.1109/ICCD.2015.7357187
Directional reversals enable i Myxococcus xanthus i cells to produce collective one-dimensional streams during fruiting-body formation
Directional reversals enableMyxococcus xanthuscells to produce collective one-dimensional streams during fruiting-body formation
Shashi Thutupalli, Mingzhai Sun, Filiz Bunyak, Kannappan Palaniappan, Joshua W. Shaevitz
Journal of The Royal Society Interface  ·  01 Aug 2015  ·  doi:10.1098/rsif.2015.0049
Interactive Segmentation Relabeling for Classification of Whole-Slide Histopathology Imagery
Interactive Segmentation Relabeling for Classification of Whole-Slide Histopathology Imagery
Anoop Haridas, Filiz Bunyak, Kannappan Palaniappan
2015 IEEE 28th International Symposium on Computer-Based Medical Systems  ·  01 Jun 2015  ·  doi:10.1109/CBMS.2015.89

2014

Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation
Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation
Rengarajan Pelapur, V. B. Surya Prasath, Filiz Bunyak, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  ·  01 Aug 2014  ·  doi:10.1109/EMBC.2014.6944682
Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models
Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models
Rui Wang, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  ·  01 Jun 2014  ·  doi:10.1109/CVPRW.2014.68
Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle
Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle
Mingzhai Sun, Jiaqing Huang, Filiz Bunyak, Kristyn Gumpper, Gejing De, Matthew Sermersheim, George Liu, Pei-Hui Lin, Kannappan Palaniappan, Jianjie Ma
Optics Express  ·  13 May 2014  ·  doi:10.1364/OE.22.012160
The effect of substrate elasticity on the adhesion and elasticity of vascular smooth muscle cells 1077.8
The effect of substrate elasticity on the adhesion and elasticity of vascular smooth muscle cells (1077.8)
Zhongkui Hong, Minshan Jin, Filiz Bunyak, Ilker Ersoy, Zhe Sun, Zhaohui Li, Kannappan Palaniappan, Gerald Meininger
The FASEB Journal  ·  01 Apr 2014  ·  doi:10.1096/fasebj.28.1_supplement.1077.8
Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion
Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion
Zhongkui Hong, Zhe Sun, Min Li, Zhaohui Li, Filiz Bunyak, …, Minshan Jin, Luis Martinez‐Lemus, Michael A. Hill, Kannappan Palaniappan, Gerald A. Meininger
The Journal of Physiology  ·  14 Mar 2014  ·  doi:10.1113/jphysiol.2013.264929

2013

Vehicle detection and orientation estimation using the radon transform
Vehicle detection and orientation estimation using the radon transform
Rengarajan Pelapur, Filiz Bunyak, Kannappan Palaniappan, Gunasekaran Seetharaman
SPIE Proceedings  ·  14 Jun 2013  ·  doi:10.1117/12.2016407
Feature selection for appearance-based vehicle tracking in geospatial video
Feature selection for appearance-based vehicle tracking in geospatial video
Mahdieh Poostchi, Filiz Bunyak, Kannappan Palaniappan, Guna Seetharaman
SPIE Proceedings  ·  13 Jun 2013  ·  doi:10.1117/12.2015672
Efficient GPU Implementation of the Integral Histogram
Efficient GPU Implementation of the Integral Histogram
Mahdieh Poostchi, Kannappan Palaniappan, Filiz Bunyak, Michela Becchi, Guna Seetharaman
Lecture Notes in Computer Science  ·  01 Jan 2013  ·  doi:10.1007/978-3-642-37410-4_23

2012

Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms
Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms
Mahdieh Poostchi, Kannappan Palaniappan, Filiz Bunyak, Guna Seetharaman
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing  ·  16 Dec 2012  ·  doi:10.1145/2425333.2425352
Feature prominence-based weighting scheme for video tracking
Feature prominence-based weighting scheme for video tracking
Sema Candemir, Kannappan Palaniappan, Filiz Bunyak, Raghuveer M. Rao, Guna Seetharaman
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing  ·  16 Dec 2012  ·  doi:10.1145/2425333.2425358
Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior
Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior
Zhongkui Hong, Ilker Ersoy, Mingzhai Sun, Filiz Bunyak, Paul Hampel, …, Zhe Sun, Zhaohui Li, Irena Levitan, Gerald A. Meininger, Kannappan Palaniappan
Journal of Biomedical Materials Research Part A  ·  13 Dec 2012  ·  doi:10.1002/jbm.a.34504
Semi-automated tracking of muscle satellite cells in brightfield microscopy video
Semi-automated tracking of muscle satellite cells in brightfield microscopy video
Ananda S. Chowdhury, Angshuman Paul, Filiz Bunyak, D.D.W. Cornelison, K. Palaniappan
2012 19th IEEE International Conference on Image Processing  ·  01 Sep 2012  ·  doi:10.1109/ICIP.2012.6467487
Feature fusion using ranking for object tracking in aerial imagery
Feature fusion using ranking for object tracking in aerial imagery
Sema Candemir, Kannappan Palaniappan, Filiz Bunyak, Guna Seetharaman
SPIE Proceedings  ·  01 May 2012  ·  doi:10.1117/12.920529
Coupled edge profile active contours for red blood cell flow analysis
Coupled edge profile active contours for red blood cell flow analysis
I. Ersoy, F. Bunyak, J. M. Higgins, K. Palaniappan
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)  ·  01 May 2012  ·  doi:10.1109/ISBI.2012.6235656

2011

Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery
Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery
Anoop Haridas, Rengarajan Pelapur, Joshua Fraser, Filiz Bunyak, Kannappan Palaniappan
2011 15th International Conference on Information Visualisation  ·  01 Jul 2011  ·  doi:10.1109/IV.2011.67
Histopathology Tissue Segmentation by Combining Fuzzy Clustering with Multiphase Vector Level Sets
Histopathology Tissue Segmentation by Combining Fuzzy Clustering with Multiphase Vector Level Sets
Filiz Bunyak, Adel Hafiane, Kannappan Palaniappan
Advances in Experimental Medicine and Biology  ·  01 Jan 2011  ·  doi:10.1007/978-1-4419-7046-6_41

2010

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video
Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video
K Palaniappan, F Bunyak, P Kumar, I Ersoy, S Jaeger, K Ganguli, A Haridas, J Fraser, R M Rao, G Seetharaman
2010 13th International Conference on Information Fusion  ·  01 Jul 2010  ·  doi:10.1109/icif.2010.5711891

2009

Efficient segmentation using feature-based graph partitioning active contours
Efficient segmentation using feature-based graph partitioning active contours
Filiz Bunyak, Kannappan Palaniappan
2009 IEEE 12th International Conference on Computer Vision  ·  01 Sep 2009  ·  doi:10.1109/ICCV.2009.5459320
Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns
Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns
F. Bunyak, K. Palaniappan, V. Chagin, M.C. Cardoso
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  ·  01 Sep 2009  ·  doi:10.1109/IEMBS.2009.5334168
Evaluation of level set-based histology image segmentation using geometric region criteria
Evaluation of level set-based histology image segmentation using geometric region criteria
Adel Hafiane, Filiz Bunyak, Kannappan Palaniappan
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  ·  01 Jun 2009  ·  doi:10.1109/ISBI.2009.5192968
Segmentation and Classification of Cell Cycle Phases in Fluorescence Imaging
Segmentation and Classification of Cell Cycle Phases in Fluorescence Imaging
Ilker Ersoy, Filiz Bunyak, Vadim Chagin, M. Christina Cardoso, Kannappan Palaniappan
Lecture Notes in Computer Science  ·  01 Jan 2009  ·  doi:10.1007/978-3-642-04271-3_75
Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory
Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory
Filiz Bunyak, Kannappan Palaniappan
Lecture Notes in Computer Science  ·  01 Jan 2009  ·  doi:10.1007/978-3-642-04697-1_14

2008

Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation
Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation
Adel Hafiane, Filiz Bunyak, Kannappan Palaniappan
2008 19th International Conference on Pattern Recognition  ·  01 Dec 2008  ·  doi:10.1109/icpr.2008.4761744
Cell segmentation using Hessian-based detection and contour evolution with directional derivatives
Cell segmentation using Hessian-based detection and contour evolution with directional derivatives
I. Ersoy, F. Bunyak, M. A. Mackey, K. Palaniappan
2008 15th IEEE International Conference on Image Processing  ·  01 Oct 2008  ·  doi:10.1109/ICIP.2008.4712127
Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution
Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution
F. Bunyak, K. Palaniappan, O. Glinskii, V. Glinskii, V. Glinsky, V. Huxley
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  ·  01 Aug 2008  ·  doi:10.1109/iembs.2008.4649868
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection
Adel Hafiane, Filiz Bunyak, Kannappan Palaniappan
Lecture Notes in Computer Science  ·  01 Jan 2008  ·  doi:10.1007/978-3-540-88458-3_82
Cell Spreading Analysis with Directed Edge Profile-Guided Level Set Active Contours
Cell Spreading Analysis with Directed Edge Profile-Guided Level Set Active Contours
Ilker Ersoy, Filiz Bunyak, Kannappan Palaniappan, Mingzhai Sun, Gabor Forgacs
Lecture Notes in Computer Science  ·  01 Jan 2008  ·  doi:10.1007/978-3-540-85988-8_45

2007

Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar Nath, Gunasekaran Seetharaman
Journal of Multimedia  ·  01 Aug 2007  ·  doi:10.4304/jmm.2.4.20-33
Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking
Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking
F. Bunyak, K. Palaniappan, S. Nath, G. Seetharaman
2007 IEEE Workshop on Applications of Computer Vision (WAC V '07)  ·  01 Feb 2007  ·  doi:10.1109/WACV.2007.26

2006

Robust Tracking of Migrating Cells Using Four-Color Level Set Segmentation
Robust Tracking of Migrating Cells Using Four-Color Level Set Segmentation
Sumit K. Nath, Filiz Bunyak, Kannappan Palaniappan
Lecture Notes in Computer Science  ·  01 Jan 2006  ·  doi:10.1007/11864349_84
Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring
Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring
Sumit K. Nath, Kannappan Palaniappan, Filiz Bunyak
Lecture Notes in Computer Science  ·  01 Jan 2006  ·  doi:10.1007/11866565_13

2005

Shadow Detection by Combined Photometric Invariants for Improved Foreground Segmentation
Shadow Detection by Combined Photometric Invariants for Improved Foreground Segmentation
F. Bunyak, I. Ersoy, S.R. Subramanya
2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1  ·  01 Jan 2005  ·  doi:10.1109/ACVMOT.2005.108
Maintaining Trajectories of Salient Objects for Robust Visual Tracking
Maintaining Trajectories of Salient Objects for Robust Visual Tracking
Filiz Bunyak, S. R. Subramanya
Lecture Notes in Computer Science  ·  01 Jan 2005  ·  doi:10.1007/11559573_100
A multi-hypothesis approach for salient object tracking in visual surveillance
A multi-hypothesis approach for salient object tracking in visual surveillance
F. Bunyak, I. Ersoy, S.R. Subramanya
IEEE International Conference on Image Processing 2005  ·  01 Jan 2005  ·  doi:10.1109/ICIP.2005.1530088

2004

A framework for trajectory based visual event retrieval
A framework for trajectory based visual event retrieval
I. Ersoy, F. Bunyak, S.R. Subramanya
International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  ·  01 Jan 2004  ·  doi:10.1109/ITCC.2004.1286584

1998

lt;title gt;Context-sensitive filtering in RLE for PCB inspection lt; title gt;
<title>Context-sensitive filtering in RLE for PCB inspection</title>
Fikret Ercal, Filiz Bunyak, Hao Feng
SPIE Proceedings  ·  09 Oct 1998  ·  doi:10.1117/12.326933
lt;title gt;Inspection of power and ground layers in PCB images lt; title gt;
<title>Inspection of power and ground layers in PCB images</title>
Filiz Bunyak, Fikret Ercal
SPIE Proceedings  ·  06 Oct 1998  ·  doi:10.1117/12.326959

1997

lt;title gt;Fast modular RLE-based inspection scheme for PCBs lt; title gt;
<title>Fast modular RLE-based inspection scheme for PCBs</title>
Fikret Ercal, Filiz Bunyak, Feng Hao, Lei Zheng
SPIE Proceedings  ·  09 Dec 1997  ·  doi:10.1117/12.294439

Systolic algorithm for processing RLE images
Systolic algorithm for processing RLE images
Hao Feng, F. Ercal, F. Bunyak
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)  ·  [no date info]  ·  doi:10.1109/IAI.1998.666872
Evolving neural networks applied to predator-evader problem
Evolving neural networks applied to predator-evader problem
S. Viswanathan, I. Ersoy, F. Bunyak, C. Dagli
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)  ·  [no date info]  ·  doi:10.1109/IJCNN.1999.833442
Quantitative Cell Motility for In Vitro Wound Healing Using Level Set-Based Active Contour Tracking
Quantitative Cell Motility for In Vitro Wound Healing Using Level Set-Based Active Contour Tracking
F. Bunyak, K. Palaniappan, S.K. Nath, T.I. Baskin, Gang Dong
3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.  ·  [no date info]  ·  doi:10.1109/ISBI.2006.1625099
Accurate Spatial Neighborhood Relationships for Arbitrarily-Shaped Objects Using Hamilton-Jacobi GVD
Accurate Spatial Neighborhood Relationships for Arbitrarily-Shaped Objects Using Hamilton-Jacobi GVD
Sumit K. Nath, Kannappan Palaniappan, Filiz Bunyak
Lecture Notes in Computer Science  ·  [no date info]  ·  doi:10.1007/978-3-540-73040-8_43