MRI ventilation analysis by merging parametric active contours. - Nilanjan Ray; Scott T. Acton; Talissa A. Altes; Eduard E. de Lange (ICIP (2), 2001)

Active contour segmentation guided by AM-FM dominant component analysis. - Nilanjan Ray; Joebob P. Havlicek; Scott T. Acton; Marios S. Pattichis (ICIP (1), 2001)

A fast and flexible multiresolution snake with a definite termination criterion. - Nilanjan Ray; Bhabatosh Chanda; Jyotirmay Das (Pattern Recognit., 2001)

Tracking fast-rolling leukocytes in vivo with active contours. - Nilanjan Ray; Scott T. Acton (ICIP (3), 2002)

Active Contours for Cell Tracking. - Nilanjan Ray; Scott T. Acton (SSIAI, 2002)

Tracking Leukocytes In Vivo with Shape and Size Constrained Active Contours. - Nilanjan Ray; Scott T. Acton; Klaus Ley (IEEE Trans. Medical Imaging, 2002)

Self-dual inclusion filters for grayscale imagery. - Nilanjan Ray; Scott T. Acton (ICIP (1), 2003)

Merging Parametric Active Contours Within Homogeneous Image Regions for MRI-Based Lung Segmentation. - Nilanjan Ray; Scott T. Acton; Talissa A. Altes; Eduard E. de Lange; James R. Brookeman (IEEE Trans. Medical Imaging, 2003)

Detection and Tracking of Rolling Leukocytes from Intravital Microscopy. - Scott T. Acton; Nilanjan Ray (ISBI, 2004)

Level set analysis for leukocyte detection and tracking. - Dipti Prasad Mukherjee; Nilanjan Ray; Scott T. Acton (IEEE Trans. Image Process., 2004)

Motion gradient vector flow: an external force for tracking rolling leukocytes with shape and size constrained active contours. - Nilanjan Ray; Scott T. Acton (IEEE Trans. Medical Imaging, 2004)

Markov chain Monte Carlo method for tracking myocardial borders. - Robert L. Janiczek; Nilanjan Ray; Scott T. Acton; R. Jack Roy; Brent A. French; Frederick H. Epstein (Computational Imaging, 2005)

Spatiotemporal Segmentation for Validation of Rolling Leukocyte Tracking Data. - Nilanjan Ray; Scott T. Acton (ICASSP (2), 2005)

Tracking multiple cells by correspondence resolution in a sequential Bayesian framework. - Nilanjan Ray; Gang Dong; Scott T. Acton (ICIP (1), 2005)

Data acceptance for automated leukocyte tracking through segmentation of spatiotemporal images. - Nilanjan Ray; Scott T. Acton (IEEE Trans. Biomed. Eng., 2005)

Inclusion filters: a class of self-dual connected operators. - Nilanjan Ray; Scott T. Acton (IEEE Trans. Image Process., 2005)

Intravital leukocyte detection using the gradient inverse coefficient of variation. - Gang Dong; Nilanjan Ray; Scott T. Acton (IEEE Trans. Medical Imaging, 2005)

Rolling Leukocyte Detection based on Teardrop Shape and the Gradient Inverse Coefficient of Variation. - Soubhagya Sahoo; Nilanjan Ray; Scott T. Acton (MediVis, 2006)

Biomedical Image Analysis: Tracking - Scott T. Acton; Nilanjan Ray (Morgan & Claypool Publishers, 2006)

Edge Sensitive Variational Image Thresholding. - Nilanjan Ray; Baidya Nath Saha (ICIP (6), 2007)

Deformable Object Tracking: A Kernel Density Estimation Approach Via Level Set Function Evolution. - Nilanjan Ray; Baidya Nath Saha (PReMI, 2007)

Automatic blood cell classification based on joint histogram based feature and bhattacharya kernel. - Sharmin Nilufar; Nilanjan Ray; Hong Zhang 006 (ACSCC, 2008)

Session TP8b3: Image analysis for biomedical applications. - Nilanjan Ray (ACSCC, 2008)

Computing oil sand particle size distribution by snake-PCA algorithm. - Baidya Nath Saha; Nilanjan Ray; Hong Zhang 013 (ICASSP, 2008)

Oil sand image segmentation using the inclusion filter. - Nilanjan Ray; Baidya Nath Saha; Scott T. Acton (ICIP, 2008)

Graph-cut optimization of the ratio of functions and its application to image segmentation. - Maddy Hui Wang; Nilanjan Ray; Hong Zhang 013 (ICIP, 2008)

Change Detection and Object Segmentation: A Histogram of Features-Based Energy Minimization Approach. - Nilanjan Ray; Baidya Nath Saha; Hong Zhang 013 (ICVGIP, 2008)

An affine transformation invariance approach to cell tracking. - Jing Cui; Nilanjan Ray; Scott T. Acton; Zongli Lin (Comput. Medical Imaging Graph., 2008)

Automated image processing and fusion for remote sensing applications. - Sakina Zabuawala; Hai Wei; Chaitanya Raju; Nilanjan Ray; Jacob Yadegar (Computational Imaging, 2009)

Optimum kernel function design from scale space features for object detection. - Sharmin Nilufar; Nilanjan Ray; Hong Zhang 013 (ICIP, 2009)

Solidity based local threshold for oil sand image segmentation. - Jichuan Shi; Hong Zhang 013; Nilanjan Ray (ICIP, 2009)

Tracking of multiple interacting objects using a novel prediction model. - Zhijie Wang 003; Hong Zhang 013; Nilanjan Ray (ICIP, 2009)

Image thresholding by variational minimax optimization. - Baidya Nath Saha; Nilanjan Ray (Pattern Recognit., 2009)

Snake Validation: A PCA-Based Outlier Detection Method. - Baidya Nath Saha; Nilanjan Ray; Hong Zhang 013 (IEEE Signal Process. Lett., 2009)

Biomedical Image Analysis: Segmentation - Scott T. Acton; Nilanjan Ray (Morgan & Claypool Publishers, 2009)

Automating Snakes for Multiple Objects Detection. - Baidya Nath Saha; Nilanjan Ray; Hong Zhang 013 (ACCV (3), 2010)

A concave cost formulation for parametric curve fitting: Detection of leukocytes from intravital microscopy images. - Nilanjan Ray (ICIP, 2010)

Cell Tracking in Video Microscopy Using Bipartite Graph Matching. - Ananda S. Chowdhury; Rohit Chatterjee; Mayukh Ghosh; Nilanjan Ray (ICPR, 2010)

Automatic segmentation of spinal cord mri using symmetric boundary tracing. - Dipti Prasad Mukherjee; Irene Cheng 001; Nilanjan Ray; Vivian Mushahwar; R. Marc Lebel; Anup Basu (IEEE Trans. Inf. Technol. Biomed., 2010)

Median filter with absolute value norm spatial regularization. - Nilanjan Ray (ICASSP, 2011)

Anovel framework for automatic passenger counting. - Satarupa Mukherjee; Baidya Nath Saha; Iqbal Jamal; Richard Leclerc; Nilanjan Ray (ICIP, 2011)

Clump splitting via bottleneck detection. - Hui Wang; Hong Zhang 013; Nilanjan Ray (ICIP, 2011)

Computation of Fluid and Particle Motion From a Time-Sequenced Image Pair: A Global Outlier Identification Approach. - Nilanjan Ray (IEEE Trans. Image Process., 2011)

Spectrogram based features selection using multiple kernel learning for speech/music discrimination. - Sharmin Nilufar; Nilanjan Ray; M. Khademul Islam Molla; Keikichi Hirose (ICASSP, 2012)

Wavelet subband-based steam detection by multiple kernel learning. - Sharmin Nilufar; Nilanjan Ray; Hong Zhang 013 (ICIP, 2012)

Seeing through clutter: Snake computation with dynamic programming for particle segmentation. - Nilanjan Ray; Scott T. Acton; Hong Zhang 013 (ICPR, 2012)

Quick detection of brain tumors and edemas: A bounding box method using symmetry. - Baidya Nath Saha; Nilanjan Ray; Russell Greiner; Albert Murtha; Hong Zhang 013 (Comput. Medical Imaging Graph., 2012)

Contour interpolation Using Level-Set Analysis. - Dipti Prasad Mukherjee; Nilanjan Ray (Int. J. Image Graph., 2012)

Shape based appearance model for kernel tracking. - Zhijie Wang 003; Mohamed Ben Salah; Hong Zhang 013; Nilanjan Ray (Image Vis. Comput., 2012)

Clump splitting via bottleneck detection and shape classification. - Hui Wang; Hong Zhang 013; Nilanjan Ray (Pattern Recognit., 2012)

Shape based local thresholding for binarization of document images. - Jichuan Shi; Nilanjan Ray; Hong Zhang 013 (Pattern Recognit. Lett., 2012)

Object Detection With DoG Scale-Space: A Multiple Kernel Learning Approach. - Sharmin Nilufar; Nilanjan Ray; Hong Zhang 013 (IEEE Trans. Image Process., 2012)

AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy. - Baidya Nath Saha; Gautam Kunapuli; Nilanjan Ray; Joseph A. Maldjian; Sriraam Natarajan (ECML/PKDD (3), 2013)

Tracking Objects with Rigid Body Templates: An Iterative Constrained Linear Least Squares Approach. - Satarupa Mukherjee; Nilanjan Ray; Dipti Prasad Mukherjee (PReMI, 2013)

Cell tracking in microscopic video using matching and linking of bipartite graphs. - Rohit Chatterjee; Mayukh Ghosh; Ananda S. Chowdhury; Nilanjan Ray (Comput. Methods Programs Biomed., 2013)

Adaptive shape prior in graph cut image segmentation. - Hui Wang; Hong Zhang 013; Nilanjan Ray (Pattern Recognit., 2013)

3D-to-2D mapping for user interactive segmentation of human leg muscles from MRI data. - Nilanjan Ray; Satarupa Mukherjee; Krishna Kanth Nakka; Scott T. Acton; Silvia S. Blanker (GlobalSIP, 2014)

People counting with image retrieval using compressed sensing. - Homa Foroughi; Nilanjan Ray; Hong Zhang 013 (ICASSP, 2014)

Registering sequences of in vivo microscopy images for cell tracking using dynamic programming and minimum spanning trees. - Sara McArdle; Scott T. Acton; Klaus Ley; Nilanjan Ray (ICIP, 2014)

A robust convergence index filter for breast cancer cell segmentation. - Baidya Nath Saha; Amritpal Saini; Nilanjan Ray; Russell Greiner; Judith Hugh; Mauro Tambasco (ICIP, 2014)

VFCCV snake: A novel active contour model combining edge and regional information. - Jiuyu Sun; Nilanjan Ray; Hong Zhang 013 (ICIP, 2014)

Counting cells from microscopy videos without tracking individual cells. - Satarupa Mukherjee; Nilanjan Ray; Scott T. Acton (ISBI, 2014)

Joint Feature Selection with Low-rank Dictionary Learning. - Homa Foroughi; Moein Shakeri; Nilanjan Ray; Hong Zhang 013 (BMVC, 2015)

Robust people counting using sparse representation and random projection. - Homa Foroughi; Nilanjan Ray; Hong Zhang 013 (Pattern Recognit., 2015)

Unique people count from monocular videos. - Satarupa Mukherjee; Stephanie Gil; Nilanjan Ray (Vis. Comput., 2015)

Synthetic Viewpoint Prediction. - Andy Hess; Nilanjan Ray; Hong Zhang 013 (CRV, 2016)

Cell Counting by Regression Using Convolutional Neural Network. - Yao Xue; Nilanjan Ray; Judith Hugh; Gilbert Bigras (ECCV Workshops (1), 2016)

Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints. - Homa Foroughi; Nilanjan Ray; Hong Zhang 013 (CoRR, 2016)

MISTICA: Minimum Spanning Tree-Based Coarse Image Alignment for Microscopy Image Sequences. - Nilanjan Ray; Sara McArdle; Klaus Ley; Scott T. Acton (IEEE J. Biomed. Health Informatics, 2016)

A Structured Deep-Learning Based Approach for the Automated Segmentation of Human Leg Muscle from 3D MRI. - Shrimanti Ghosh; Nilanjan Ray; Pierre Boulanger (CRV, 2017)

Face recognition using multi-modal low-rank dictionary learning. - Homa Foroughi; Moein Shakeri; Nilanjan Ray; Hong Zhang 013 (ICIP, 2017)

Automated 3D muscle segmentation from MRI data using convolutional neural network. - Shrimanti Ghosh; Pierre Boulanger; Scott T. Acton; Silvia S. Blemker; Nilanjan Ray (ICIP, 2017)

A two-stage minimum spanning tree (MST) based clustering algorithm for 2D deformable registration of time sequenced images. - Baidya Nath Saha; Nilanjan Ray; Sara McArdle; Klaus Ley (ICIP, 2017)

Convolutional gated recurrent networks for video segmentation. - Mennatullah Siam; Sepehr Valipour; Martin Jägersand; Nilanjan Ray (ICIP, 2017)

A novel framework to integrate convolutional neural network with compressed sensing for cell detection. - Yao Xue; Nilanjan Ray; Judith Hugh; Gilbert Bigras (ICIP, 2017)

Convolutional gated recurrent networks for video semantic segmentation in automated driving. - Mennatullah Siam; Sepehr Valipour; Martin Jägersand; Nilanjan Ray; Senthil Kumar Yogamani (ITSC, 2017)

Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm. - Baidya Nath Saha; Nilanjan Ray; Sara McArdle; Klaus Ley (MICCAI (1), 2017)

Recurrent Fully Convolutional Networks for Video Segmentation. - Sepehr Valipour; Mennatullah Siam; Martin Jägersand; Nilanjan Ray (WACV, 2017)

Cell Detection with Deep Convolutional Neural Network and Compressed Sensing. - Yao Xue; Nilanjan Ray (CoRR, 2017)

Error bound of Nyström-approximated NCut eigenvectors and its application to training size selection. - Li He 002; Nilanjan Ray; Hong Zhang 013 (Neurocomputing, 2017)

Deep deformable registration: Enhancing accuracy by fully convolutional neural net. - Sayan Ghosal; Nilanjan Ray (Pattern Recognit. Lett., 2017)

Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet. - Yao Xue; Nilanjan Ray (AAAI Workshops, 2018)

Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning. - Sara Elkerdawy; Nilanjan Ray; Hong Zhang 013 (ECCV Workshops (4), 2018)

Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network. - Shrimanti Ghosh; Ankur Banerjee; Nilanjan Ray; Peter W. Wood; Pierre Boulanger; Raj Padwal (ICASSP, 2018)

Online Illumination Invariant Moving Object Detection by Generative Neural Network. - Fateme Bahri; Moein Shakeri; Nilanjan Ray (ICVGIP, 2018)

Object Classification With Joint Projection and Low-Rank Dictionary Learning. - Homa Foroughi; Nilanjan Ray; Hong Zhang 013 (IEEE Trans. Image Process., 2018)

Generative Adversarial Networks Using Adaptive Convolution. - Nhat M. Nguyen; Nilanjan Ray (CRV, 2019)

Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter Pruning. - Sara Elkerdawy; Hong Zhang 013; Nilanjan Ray (ICIP, 2019)

Fast Large-Scale Spectral Clustering via Explicit Feature Mapping. - Li He 002; Nilanjan Ray; Yisheng Guan; Hong Zhang 013 (IEEE Trans. Cybern., 2019)

Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. - Yao Xue; Gilbert Bigras; Judith Hugh; Nilanjan Ray (IEEE Trans. Medical Imaging, 2019)

To Filter Prune, or to Layer Prune, That Is the Question. - Sara Elkerdawy; Mostafa Elhoushi; Abhineet Singh; Hong Zhang 013; Nilanjan Ray (ACCV (3), 2020)

Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. - Juiwen Ting; Kumaradevan Punithakumar; Nilanjan Ray (BIBM, 2020)

One-Shot Layer-Wise Accuracy Approximation For Layer Pruning. - Sara Elkerdawy; Mostafa Elhoushi; Abhineet Singh; Hong Zhang 013; Nilanjan Ray (ICIP, 2020)

Foreground-focused domain adaption for object detection. - Yuchen Yang; Nilanjan Ray (ICPR, 2020)

A Flexible Method for Performance Evaluation of Robot Localization. - Sean Scheideman; Nilanjan Ray; Hong Zhang 013 (ICRA, 2020)

Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder. - Shrimanti Ghosh; Nilanjan Ray; Pierre Boulanger; Kumaradevan Punithakumar; Michelle Noga (ISBI, 2020)

Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. - Logan Gilmour; Nilanjan Ray (MIDL, 2020)

DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration. - Abhishek Nan; Matthew Tennant; Uriel Rubin; Nilanjan Ray (MIDL, 2020)

End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation. - Nhat M. Nguyen; Nilanjan Ray (MIDL, 2020)

Animal Detection in Man-made Environments. - Abhineet Singh; Marcin Pietrasik; Gabriell Natha; Nehla Ghouaiel; Ken Brizel; Nilanjan Ray (WACV, 2020)

Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration. - Abhishek Nan; Matthew Tennant; Uriel Rubin; Nilanjan Ray (CoRR, 2020)

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. - Jakaria Rabbi; Nilanjan Ray; Matthias Schubert; Subir Chowdhury; Dennis Chao (Remote. Sens., 2020)

River Ice Segmentation With Deep Learning. - Abhineet Singh; Hayden Kalke; Mark Loewen; Nilanjan Ray (IEEE Trans. Geosci. Remote. Sens., 2020)

Layer Importance Estimation With Imprinting for Neural Network Quantization. - Hongyang Liu; Sara Elkerdawy; Nilanjan Ray; Mostafa Elhoushi (CVPR Workshops, 2021)

Unknown-Box Approximation to Improve Optical Character Recognition Performance. - Ayantha Randika; Nilanjan Ray; Xiao Xiao; Allegra Latimer (ICDAR (1), 2021)

Deep Fisher Vector Coding For Whole Slide Image Classification. - Amir Akbarnejad; Nilanjan Ray; Gilbert Bigras (ISBI, 2021)

Dynamic Background Subtraction by Generative Neural Networks. - Fateme Bahri; Nilanjan Ray (AVSS, 2022)

Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. - Ameneh Sheikhjafari; Deepa Krishnaswamy; Michelle Noga; Nilanjan Ray; Kumaradevan Punithakumar (BIBM, 2022)

Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. - Sara Elkerdawy; Mostafa Elhoushi; Hong Zhang 013; Nilanjan Ray (CVPR, 2022)

Towards Positive Jacobian: Learn to Postprocess for Diffeomorphic Image Registration with Matrix Exponential. - Soumyadeep Pal; Matthew Tennant; Nilanjan Ray (ICPR, 2022)

A training-free recursive multiresolution framework for diffeomorphic deformable image registration. - Ameneh Sheikhjafari; Michelle Noga; Kumaradevan Punithakumar; Nilanjan Ray (Appl. Intell., 2022)

Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey. - Seyed Mojtaba Marvasti-Zadeh; Mohammad N. S. Jahromi; Javad Khaghani; Devin Goodsman; Nilanjan Ray; Nadir Erbilgin (CoRR, 2022)

Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning. - Rudraksh Kapil; Seyed Mojtaba Marvasti-Zadeh; Devin Goodsman; Nilanjan Ray; Nadir Erbilgin (CoRR, 2022)

Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices. - Preetam Anbukarasu; Shailesh Nanisetty; Ganesh Tata; Nilanjan Ray (CoRR, 2022)

Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. - Ameneh Sheikhjafari; Deepa Krishnaswamy; Michelle Noga; Nilanjan Ray; Kumaradevan Punithakumar (CoRR, 2022)

Crown-CAM: Reliable Visual Explanations for Tree Crown Detection in Aerial Images. - Seyed Mojtaba Marvasti-Zadeh; Devin Goodsman; Nilanjan Ray; Nadir Erbilgin (CoRR, 2022)

Alberta River Ice Segmentation Dataset. - Abhineet Singh; Hayden Kalke; Mark Loewen; Nilanjan Ray (IEEE DataPort, 2022)

A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction. - Namitha Guruprasad; Penny J. Barnes; Amir Akbarnejad; Gilbert Bigras; Nilanjan Ray (BIBM, 2023)

GPEX, A Framework For Interpreting Artificial Neural Networks. - Amir Akbarnejad; Gilbert Bigras; Nilanjan Ray (NeurIPS, 2023)

GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration. - Ameneh Sheikhjafari; Michelle Noga; Ahmed Ahmed; Nilanjan Ray; Kumaradevan Punithakumar (IEEE Access, 2023)

Compact Depth-Wise Separable Precise Network for Depth Completion. - Tianqi Wang; Nilanjan Ray (IEEE Access, 2023)

Weakly Supervised Realtime Dynamic Background Subtraction. - Fateme Bahri; Nilanjan Ray (CoRR, 2023)

Towards Early Prediction of Human iPSC Reprogramming Success. - Abhineet Singh; Ila Jasra; Omar Mouhammed; Nidheesh Dadheech; Nilanjan Ray; James Shapiro (CoRR, 2023)

Document Image Cleaning using Budget-Aware Black-Box Approximation. - Ganesh Tata; Katyani Singh; Eric Van Oeveren; Nilanjan Ray (CoRR, 2023)

TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection. - Seyed Mojtaba Marvasti-Zadeh; Nilanjan Ray; Nadir Erbilgin (CoRR, 2023)

Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images. - Amir Akbarnejad; Nilanjan Ray; Penny J. Barnes; Gilbert Bigras (CoRR, 2023)

Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images. - Seyed Mojtaba Marvasti-Zadeh; Devin Goodsman; Nilanjan Ray; Nadir Erbilgin (IEEE Geosci. Remote. Sens. Lett., 2023)

Orthomosaicking Thermal Drone Images of Forests via Simultaneously Acquired RGB Images. - Rudraksh Kapil; Guillermo Castilla; Seyed Mojtaba Marvasti-Zadeh; Devin Goodsman; Nadir Erbilgin; Nilanjan Ray (Remote. Sens., 2023)

ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery. - Rudraksh Kapil; Seyed Mojtaba Marvasti-Zadeh; Nadir Erbilgin; Nilanjan Ray (WACV, 2024)

Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection. - Seyed Mojtaba Marvasti-Zadeh; Nilanjan Ray; Nadir Erbilgin (WACV, 2024)

Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning. - Jakaria Rabbi; Johannes Kiechle; Christian Beaulieu; Nilanjan Ray; Dana Cobzas (CoRR, 2024)

Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization. - Mohammadjavad Matinkia; Nilanjan Ray (CoRR, 2024)

Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review. - Seyed Mojtaba Marvasti-Zadeh; Devin Goodsman; Nilanjan Ray; Nadir Erbilgin (ACM Comput. Surv., 2024)

A Comparison of Deep Learning Models for Automatic Left-Ventricular Segmentation in 3D Echocardiography. - Ishani DasGupta; Nilanjan Ray; Kumaradevan Punithakumar (ISBI, 2025)

Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates. - Arnisha Khondaker; Nilanjan Ray (WACV, 2025)

Computerized Diagnosis Methods for Pediatric Cardiology: A Review. - R. Shantha Selvakumari; Kumaradevan Punithakumar; D. Selvathi 001; S. Chrisilla; R. Sri Abinaya; Nilanjan Ray (IEEE Access, 2025)

Improving Token-Based Object Detection With Video. - Abhineet Singh; Nilanjan Ray (IEEE Access, 2025)

Unpaired document image denoising for OCR using BiLSTM enhanced CycleGAN. - Katyani Singh; Ganesh Tata; Eric Van Oeveren; Nilanjan Ray (Int. J. Document Anal. Recognit., 2025)