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2020 – today
- 2024
[j37]Seyed Mojtaba Marvasti-Zadeh
, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin:
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review. ACM Comput. Surv. 56(4): 97:1-97:40 (2024)- [c78]Seyed Mojtaba Marvasti-Zadeh, Nilanjan Ray, Nadir Erbilgin:
Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection. WACV 2024: 2245-2254 - [c77]Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Nadir Erbilgin, Nilanjan Ray:
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery. WACV 2024: 8251-8261 - [i40]Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu, Nilanjan Ray, Dana Cobzas:
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning. CoRR abs/2404.00785 (2024) - [i39]Mohammadjavad Matinkia, Nilanjan Ray:
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization. CoRR abs/2405.18684 (2024) - [i38]Arnisha Khondaker, Nilanjan Ray:
Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates. CoRR abs/2407.17530 (2024) - 2023
- [j36]Ameneh Sheikhjafari, Michelle Noga, Ahmed Ahmed, Nilanjan Ray, Kumaradevan Punithakumar:
GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration. IEEE Access 11: 8185-8198 (2023) - [j35]Tianqi Wang, Nilanjan Ray:
Compact Depth-Wise Separable Precise Network for Depth Completion. IEEE Access 11: 72679-72688 (2023) - [j34]Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin:
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j33]Rudraksh Kapil, Guillermo Castilla, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nadir Erbilgin, Nilanjan Ray:
Orthomosaicking Thermal Drone Images of Forests via Simultaneously Acquired RGB Images. Remote. Sens. 15(10): 2653 (2023) - [c76]Namitha Guruprasad, Penny J. Barnes, Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction. BIBM 2023: 1941-1946 - [c75]Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
GPEX, A Framework For Interpreting Artificial Neural Networks. NeurIPS 2023 - [i37]Fateme Bahri, Nilanjan Ray:
Weakly Supervised Realtime Dynamic Background Subtraction. CoRR abs/2303.02857 (2023) - [i36]Abhineet Singh, Ila Jasra, Omar Mouhammed, Nidheesh Dadheech, Nilanjan Ray, James Shapiro:
Towards Early Prediction of Human iPSC Reprogramming Success. CoRR abs/2305.14575 (2023) - [i35]Ganesh Tata, Katyani Singh, Eric Van Oeveren, Nilanjan Ray:
Document Image Cleaning using Budget-Aware Black-Box Approximation. CoRR abs/2306.13236 (2023) - [i34]Seyed Mojtaba Marvasti-Zadeh, Nilanjan Ray, Nadir Erbilgin:
TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection. CoRR abs/2307.13755 (2023) - [i33]Amir Akbarnejad, Nilanjan Ray, Penny J. Barnes, Gilbert Bigras:
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images. CoRR abs/2308.01982 (2023) - [i32]Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Nadir Erbilgin, Nilanjan Ray:
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery. CoRR abs/2310.16212 (2023) - 2022
- [j32]Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray:
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. Appl. Intell. 52(11): 12546-12555 (2022) - [c74]Fateme Bahri, Nilanjan Ray:
Dynamic Background Subtraction by Generative Neural Networks. AVSS 2022: 1-8 - [c73]Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar:
Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. BIBM 2022: 1164-1169 - [c72]Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray:
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. CVPR 2022: 12444-12453 - [c71]Soumyadeep Pal, Matthew Tennant, Nilanjan Ray:
Towards Positive Jacobian: Learn to Postprocess for Diffeomorphic Image Registration with Matrix Exponential. ICPR 2022: 3391-3398 - [d1]Abhineet Singh, Hayden Kalke, Mark Loewen, Nilanjan Ray:
Alberta River Ice Segmentation Dataset. IEEE DataPort, 2022
- [i31]Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray:
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. CoRR abs/2202.00675 (2022) - [i30]Soumyadeep Pal, Matthew Tennant, Nilanjan Ray:
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential. CoRR abs/2202.00749 (2022) - [i29]Fateme Bahri, Nilanjan Ray:
Dynamic Background Subtraction by Generative Neural Networks. CoRR abs/2202.05336 (2022) - [i28]Seyed Mojtaba Marvasti-Zadeh, Mohammad N. S. Jahromi, Javad Khaghani, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin:
Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey. CoRR abs/2207.04512 (2022) - [i27]Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin:
Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning. CoRR abs/2207.07241 (2022) - [i26]Preetam Anbukarasu, Shailesh Nanisetty, Ganesh Tata, Nilanjan Ray:
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices. CoRR abs/2208.07981 (2022) - [i25]Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar:
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. CoRR abs/2208.13275 (2022) - [i24]Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin:
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review. CoRR abs/2210.03829 (2022) - [i23]Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin:
Crown-CAM: Reliable Visual Explanations for Tree Crown Detection in Aerial Images. CoRR abs/2211.13126 (2022) - 2021
- [c70]Hongyang Liu, Sara Elkerdawy, Nilanjan Ray, Mostafa Elhoushi:
Layer Importance Estimation With Imprinting for Neural Network Quantization. CVPR Workshops 2021: 2408-2417 - [c69]Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer:
Unknown-Box Approximation to Improve Optical Character Recognition Performance. ICDAR (1) 2021: 481-496 - [c68]Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras:
Deep Fisher Vector Coding For Whole Slide Image Classification. ISBI 2021: 243-246 - [i22]Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer:
Unknown-box Approximation to Improve Optical Character Recognition Performance. CoRR abs/2105.07983 (2021) - [i21]Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray:
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. CoRR abs/2110.08232 (2021) - [i20]Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
GPEX, A Framework For Interpreting Artificial Neural Networks. CoRR abs/2112.09820 (2021) - 2020
- [j31]Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao:
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. Remote. Sens. 12(9): 1432 (2020) - [j30]Abhineet Singh, Hayden Kalke, Mark Loewen, Nilanjan Ray:
River Ice Segmentation With Deep Learning. IEEE Trans. Geosci. Remote. Sens. 58(11): 7570-7579 (2020) - [c67]Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
To Filter Prune, or to Layer Prune, That Is the Question. ACCV (3) 2020: 737-753 - [c66]Juiwen Ting, Kumaradevan Punithakumar, Nilanjan Ray:
Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. BIBM 2020: 765-771 - [c65]Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
One-Shot Layer-Wise Accuracy Approximation For Layer Pruning. ICIP 2020: 2940-2944 - [c64]Yuchen Yang, Nilanjan Ray:
Foreground-focused domain adaption for object detection. ICPR 2020: 6941-6948 - [c63]Sean Scheideman, Nilanjan Ray, Hong Zhang:
A Flexible Method for Performance Evaluation of Robot Localization. ICRA 2020: 8302-8308 - [c62]Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger, Kumaradevan Punithakumar, Michelle Noga:
Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder. ISBI 2020: 1756-1760 - [c61]Logan Gilmour, Nilanjan Ray:
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. MIDL 2020: 262-276 - [c60]Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray:
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration. MIDL 2020: 527-543 - [c59]Nhat M. Nguyen, Nilanjan Ray:
End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation. MIDL 2020: 555-569 - [c58]Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray:
Animal Detection in Man-made Environments. WACV 2020: 1427-1438 - [i19]Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray:
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration. CoRR abs/2001.09865 (2020) - [i18]Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao:
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. CoRR abs/2003.09085 (2020) - [i17]Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
To filter prune, or to layer prune, that is the question. CoRR abs/2007.05667 (2020) - [i16]Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray:
Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration. CoRR abs/2007.13683 (2020) - [i15]Logan Gilmour, Nilanjan Ray:
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. CoRR abs/2008.04428 (2020)
2010 – 2019
- 2019
- [j29]Li He, Nilanjan Ray, Yisheng Guan, Hong Zhang:
Fast Large-Scale Spectral Clustering via Explicit Feature Mapping. IEEE Trans. Cybern. 49(3): 1058-1071 (2019) - [j28]Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray:
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. IEEE Trans. Medical Imaging 38(11): 2632-2641 (2019) - [c57]Nhat M. Nguyen, Nilanjan Ray:
Generative Adversarial Networks Using Adaptive Convolution. CRV 2019: 129-134 - [c56]Sara Elkerdawy, Hong Zhang, Nilanjan Ray:
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter Pruning. ICIP 2019: 4290-4294 - [i14]Abhineet Singh, Hayden Kalke, Nilanjan Ray, Mark Loewen:
River Ice Segmentation with Deep Learning. CoRR abs/1901.04412 (2019) - [i13]Sara Elkerdawy, Hong Zhang, Nilanjan Ray:
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning. CoRR abs/1905.05212 (2019) - [i12]Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray:
Animal Detection in Man-made Environments. CoRR abs/1910.11443 (2019) - 2018
- [j27]Homa Foroughi, Nilanjan Ray, Hong Zhang:
Object Classification With Joint Projection and Low-Rank Dictionary Learning. IEEE Trans. Image Process. 27(2): 806-821 (2018) - [c55]Yao Xue, Nilanjan Ray:
Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet. AAAI Workshops 2018: 159-166 - [c54]Sara Elkerdawy, Nilanjan Ray, Hong Zhang:
Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning. ECCV Workshops (4) 2018: 664-670 - [c53]Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W. Wood, Pierre Boulanger, Raj Padwal:
Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network. ICASSP 2018: 935-939 - [c52]Fateme Bahri, Moein Shakeri, Nilanjan Ray:
Online Illumination Invariant Moving Object Detection by Generative Neural Network. ICVGIP 2018: 16:1-16:8 - [i11]Nhat M. Nguyen, Nilanjan Ray:
Generative Adversarial Networks using Adaptive Convolution. CoRR abs/1802.02226 (2018) - [i10]Fateme Bahri, Moein Shakeri, Nilanjan Ray:
Online Illumination Invariant Moving Object Detection by Generative Neural Network. CoRR abs/1808.01066 (2018) - [i9]Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray:
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. CoRR abs/1810.03075 (2018) - [i8]Nhat M. Nguyen, Nilanjan Ray:
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation. CoRR abs/1812.00328 (2018) - 2017
- [j26]Li He, Nilanjan Ray, Hong Zhang:
Error bound of Nyström-approximated NCut eigenvectors and its application to training size selection. Neurocomputing 239: 130-142 (2017) - [j25]Sayan Ghosal, Nilanjan Ray:
Deep deformable registration: Enhancing accuracy by fully convolutional neural net. Pattern Recognit. Lett. 94: 81-86 (2017) - [c51]Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger:
A Structured Deep-Learning Based Approach for the Automated Segmentation of Human Leg Muscle from 3D MRI. CRV 2017: 117-123 - [c50]Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang:
Face recognition using multi-modal low-rank dictionary learning. ICIP 2017: 1082-1086 - [c49]Baidya Nath Saha, Nilanjan Ray, Sara McArdle, Klaus Ley:
A two-stage minimum spanning tree (MST) based clustering algorithm for 2D deformable registration of time sequenced images. ICIP 2017: 1472-1476 - [c48]Yao Xue, Nilanjan Ray, Judith Hugh, Gilbert Bigras:
A novel framework to integrate convolutional neural network with compressed sensing for cell detection. ICIP 2017: 2319-2323 - [c47]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray:
Convolutional gated recurrent networks for video segmentation. ICIP 2017: 3090-3094 - [c46]Shrimanti Ghosh, Pierre Boulanger, Scott T. Acton, Silvia S. Blemker, Nilanjan Ray:
Automated 3D muscle segmentation from MRI data using convolutional neural network. ICIP 2017: 4437-4441 - [c45]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray, Senthil Kumar Yogamani:
Convolutional gated recurrent networks for video semantic segmentation in automated driving. ITSC 2017: 1-7 - [c44]Baidya Nath Saha, Nilanjan Ray, Sara McArdle, Klaus Ley:
Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm. MICCAI (1) 2017: 353-361 - [c43]Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray:
Recurrent Fully Convolutional Networks for Video Segmentation. WACV 2017: 29-36 - [i7]Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang:
Face Recognition using Multi-Modal Low-Rank Dictionary Learning. CoRR abs/1703.04853 (2017) - [i6]Yao Xue, Nilanjan Ray:
Cell Detection with Deep Convolutional Neural Network and Compressed Sensing. CoRR abs/1708.03307 (2017) - 2016
- [j24]Nilanjan Ray, Sara McArdle, Klaus Ley, Scott T. Acton:
MISTICA: Minimum Spanning Tree-Based Coarse Image Alignment for Microscopy Image Sequences. IEEE J. Biomed. Health Informatics 20(6): 1575-1584 (2016) - [c42]Andy Hess, Nilanjan Ray, Hong Zhang:
Synthetic Viewpoint Prediction. CRV 2016: 391-398 - [c41]Yao Xue, Nilanjan Ray, Judith Hugh, Gilbert Bigras:
Cell Counting by Regression Using Convolutional Neural Network. ECCV Workshops (1) 2016: 274-290 - [i5]Homa Foroughi, Nilanjan Ray, Hong Zhang:
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints. CoRR abs/1603.07697 (2016) - [i4]Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray:
Recurrent Fully Convolutional Networks for Video Segmentation. CoRR abs/1606.00487 (2016) - [i3]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray:
Convolutional Gated Recurrent Networks for Video Segmentation. CoRR abs/1611.05435 (2016) - [i2]Sayan Ghosal, Nilanjan Ray:
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net. CoRR abs/1611.08796 (2016) - [i1]Homa Foroughi, Nilanjan Ray, Hong Zhang:
Object Classification with Joint Projection and Low-rank Dictionary Learning. CoRR abs/1612.01594 (2016) - 2015
- [j23]Homa Foroughi, Nilanjan Ray, Hong Zhang:
Robust people counting using sparse representation and random projection. Pattern Recognit. 48(10): 3038-3052 (2015) - [j22]Satarupa Mukherjee, Stephanie Gil, Nilanjan Ray:
Unique people count from monocular videos. Vis. Comput. 31(10): 1405-1417 (2015) - [c40]Homa Foroughi, Moein Shakeri, Nilanjan Ray, Hong Zhang:
Joint Feature Selection with Low-rank Dictionary Learning. BMVC 2015: 97.1-97.13 - 2014
- [c39]Nilanjan Ray, Satarupa Mukherjee, Krishna Kanth Nakka, Scott T. Acton, Silvia S. Blanker:
3D-to-2D mapping for user interactive segmentation of human leg muscles from MRI data. GlobalSIP 2014: 50-54 - [c38]Homa Foroughi, Nilanjan Ray, Hong Zhang:
People counting with image retrieval using compressed sensing. ICASSP 2014: 4354-4358 - [c37]Baidya Nath Saha, Amritpal Saini, Nilanjan Ray, Russell Greiner, Judith Hugh, Mauro Tambasco:
A robust convergence index filter for breast cancer cell segmentation. ICIP 2014: 922-926 - [c36]Jiuyu Sun, Nilanjan Ray, Hong Zhang:
VFCCV snake: A novel active contour model combining edge and regional information. ICIP 2014: 927-931 - [c35]Sara McArdle, Scott T. Acton, Klaus Ley, Nilanjan Ray:
Registering sequences of in vivo microscopy images for cell tracking using dynamic programming and minimum spanning trees. ICIP 2014: 3547-3551 - [c34]Satarupa Mukherjee, Nilanjan Ray, Scott T. Acton:
Counting cells from microscopy videos without tracking individual cells. ISBI 2014: 465-468 - 2013
- [j21]Rohit Chatterjee, Mayukh Ghosh, Ananda S. Chowdhury, Nilanjan Ray:
Cell tracking in microscopic video using matching and linking of bipartite graphs. Comput. Methods Programs Biomed. 112(3): 422-431 (2013) - [j20]Hui Wang, Hong Zhang, Nilanjan Ray:
Adaptive shape prior in graph cut image segmentation. Pattern Recognit. 46(5): 1409-1414 (2013) - [c33]Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan:
AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy. ECML/PKDD (3) 2013: 1-16 - [c32]Satarupa Mukherjee, Nilanjan Ray, Dipti Prasad Mukherjee:
Tracking Objects with Rigid Body Templates: An Iterative Constrained Linear Least Squares Approach. PReMI 2013: 396-403 - 2012
- [j19]Baidya Nath Saha, Nilanjan Ray, Russell Greiner, Albert Murtha, Hong Zhang:
Quick detection of brain tumors and edemas: A bounding box method using symmetry. Comput. Medical Imaging Graph. 36(2): 95-107 (2012) - [j18]Dipti Prasad Mukherjee, Nilanjan Ray:
Contour interpolation Using Level-Set Analysis. Int. J. Image Graph. 12(1) (2012) - [j17]Zhijie Wang, Mohamed Ben Salah, Hong Zhang, Nilanjan Ray:
Shape based appearance model for kernel tracking. Image Vis. Comput. 30(4-5): 332-344 (2012) - [j16]Hui Wang, Hong Zhang, Nilanjan Ray:
Clump splitting via bottleneck detection and shape classification. Pattern Recognit. 45(7): 2780-2787 (2012) - [j15]Jichuan Shi, Nilanjan Ray, Hong Zhang:
Shape based local thresholding for binarization of document images. Pattern Recognit. Lett. 33(1): 24-32 (2012) - [j14]Sharmin Nilufar, Nilanjan Ray, Hong Zhang:
Object Detection With DoG Scale-Space: A Multiple Kernel Learning Approach. IEEE Trans. Image Process. 21(8): 3744-3756 (2012) - [c31]Sharmin Nilufar, Nilanjan Ray, M. Khademul Islam Molla, Keikichi Hirose:
Spectrogram based features selection using multiple kernel learning for speech/music discrimination. ICASSP 2012: 501-504 - [c30]Sharmin Nilufar, Nilanjan Ray, Hong Zhang:
Wavelet subband-based steam detection by multiple kernel learning. ICIP 2012: 1153-1156 - [c29]Nilanjan Ray, Scott T. Acton, Hong Zhang:
Seeing through clutter: Snake computation with dynamic programming for particle segmentation. ICPR 2012: 801-804 - 2011
- [j13]Nilanjan Ray:
Computation of Fluid and Particle Motion From a Time-Sequenced Image Pair: A Global Outlier Identification Approach. IEEE Trans. Image Process. 20(10): 2925-2936 (2011) - [c28]Nilanjan Ray:
Median filter with absolute value norm spatial regularization. ICASSP 2011: 1437-1440 - [c27]Hui Wang, Hong Zhang, Nilanjan Ray:
Clump splitting via bottleneck detection. ICIP 2011: 61-64 - [c26]Satarupa Mukherjee, Baidya Nath Saha, Iqbal Jamal, Richard Leclerc, Nilanjan Ray:
Anovel framework for automatic passenger counting. ICIP 2011: 2969-2972 - 2010
- [j12]Dipti Prasad Mukherjee, Irene Cheng, Nilanjan Ray, Vivian Mushahwar, R. Marc Lebel, Anup Basu:
Automatic segmentation of spinal cord mri using symmetric boundary tracing. IEEE Trans. Inf. Technol. Biomed. 14(5): 1275-1278 (2010) - [c25]Baidya Nath Saha, Nilanjan Ray, Hong Zhang:
Automating Snakes for Multiple Objects Detection. ACCV (3) 2010: 39-51 - [c24]Nilanjan Ray:
A concave cost formulation for parametric curve fitting: Detection of leukocytes from intravital microscopy images. ICIP 2010: 53-56 - [c23]Ananda S. Chowdhury, Rohit Chatterjee, Mayukh Ghosh, Nilanjan Ray:
Cell Tracking in Video Microscopy Using Bipartite Graph Matching. ICPR 2010: 2456-2459
2000 – 2009
- 2009
- [b2]Scott T. Acton, Nilanjan Ray:
Biomedical Image Analysis: Segmentation. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2009, ISBN 978-3-031-01117-7 - [j11]Baidya Nath Saha, Nilanjan Ray:
Image thresholding by variational minimax optimization. Pattern Recognit. 42(5): 843-856 (2009) - [j10]Baidya Nath Saha, Nilanjan Ray, Hong Zhang:
Snake Validation: A PCA-Based Outlier Detection Method. IEEE Signal Process. Lett. 16(6): 549-552 (2009) - [c22]Sakina Zabuawala, Hai Wei, Chaitanya Raju, Nilanjan Ray, Jacob Yadegar:
Automated image processing and fusion for remote sensing applications. Computational Imaging 2009: 724612 - [c21]Sharmin Nilufar, Nilanjan Ray, Hong Zhang:
Optimum kernel function design from scale space features for object detection. ICIP 2009: 861-864 - [c20]Zhijie Wang, Hong Zhang, Nilanjan Ray:
Tracking of multiple interacting objects using a novel prediction model. ICIP 2009: 869-872 - [c19]Jichuan Shi, Hong Zhang, Nilanjan Ray:
Solidity based local threshold for oil sand image segmentation. ICIP 2009: 2385-2388 - 2008
- [j9]Jing Cui, Nilanjan Ray, Scott T. Acton, Zongli Lin:
An affine transformation invariance approach to cell tracking. Comput. Medical Imaging Graph. 32(7): 554-565 (2008) - [c18]Nilanjan Ray:
Session TP8b3: Image analysis for biomedical applications. ACSCC 2008: 1902-1904 - [c17]Sharmin Nilufar, Nilanjan Ray, Hong Zhang:
Automatic blood cell classification based on joint histogram based feature and bhattacharya kernel. ACSCC 2008: 1915-1918 - [c16]Baidya Nath Saha, Nilanjan Ray, Hong Zhang:
Computing oil sand particle size distribution by snake-PCA algorithm. ICASSP 2008: 977-980 - [c15]Maddy Hui Wang, Nilanjan Ray, Hong Zhang:
Graph-cut optimization of the ratio of functions and its application to image segmentation. ICIP 2008: 749-752 - [c14]Nilanjan Ray, Baidya Nath Saha, Scott T. Acton:
Oil sand image segmentation using the inclusion filter. ICIP 2008: 2188-2191 - [c13]Nilanjan Ray, Baidya Nath Saha, Hong Zhang:
Change Detection and Object Segmentation: A Histogram of Features-Based Energy Minimization Approach. ICVGIP 2008: 628-635 - 2007
- [c12]Nilanjan Ray, Baidya Nath Saha:
Edge Sensitive Variational Image Thresholding. ICIP (6) 2007: 37-40 - [c11]Nilanjan Ray, Baidya Nath Saha:
Deformable Object Tracking: A Kernel Density Estimation Approach Via Level Set Function Evolution. PReMI 2007: 624-631 - 2006
- [b1]Scott T. Acton, Nilanjan Ray:
Biomedical Image Analysis: Tracking. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2006, ISBN 978-3-031-01109-2 - [c10]Soubhagya Sahoo, Nilanjan Ray, Scott T. Acton:
Rolling Leukocyte Detection based on Teardrop Shape and the Gradient Inverse Coefficient of Variation. MediVis 2006: 29-33 - 2005
- [j8]Nilanjan Ray, Scott T. Acton:
Data acceptance for automated leukocyte tracking through segmentation of spatiotemporal images. IEEE Trans. Biomed. Eng. 52(10): 1702-1712 (2005) - [j7]Nilanjan Ray, Scott T. Acton:
Inclusion filters: a class of self-dual connected operators. IEEE Trans. Image Process. 14(11): 1736-1746 (2005) - [j6]Gang Dong, Nilanjan Ray, Scott T. Acton:
Intravital leukocyte detection using the gradient inverse coefficient of variation. IEEE Trans. Medical Imaging 24(7): 910-924 (2005) - [c9]Robert L. Janiczek, Nilanjan Ray, Scott T. Acton, R. Jack Roy, Brent A. French, Frederick H. Epstein:
Markov chain Monte Carlo method for tracking myocardial borders. Computational Imaging 2005: 211-218 - [c8]Nilanjan Ray, Scott T. Acton:
Spatiotemporal Segmentation for Validation of Rolling Leukocyte Tracking Data. ICASSP (2) 2005: 129-132 - [c7]Nilanjan Ray, Gang Dong, Scott T. Acton:
Tracking multiple cells by correspondence resolution in a sequential Bayesian framework. ICIP (1) 2005: 705-708 - 2004
- [j5]Dipti Prasad Mukherjee, Nilanjan Ray, Scott T. Acton:
Level set analysis for leukocyte detection and tracking. IEEE Trans. Image Process. 13(4): 562-572 (2004) - [j4]Nilanjan Ray, Scott T. Acton:
Motion gradient vector flow: an external force for tracking rolling leukocytes with shape and size constrained active contours. IEEE Trans. Medical Imaging 23(12): 1466-1478 (2004) - [c6]Scott T. Acton, Nilanjan Ray:
Detection and Tracking of Rolling Leukocytes from Intravital Microscopy. ISBI 2004: 1235-1238 - 2003
- [j3]Nilanjan Ray, Scott T. Acton, Talissa A. Altes, Eduard E. de Lange, James R. Brookeman:
Merging Parametric Active Contours Within Homogeneous Image Regions for MRI-Based Lung Segmentation. IEEE Trans. Medical Imaging 22(2): 189-199 (2003) - [c5]Nilanjan Ray, Scott T. Acton:
Self-dual inclusion filters for grayscale imagery. ICIP (1) 2003: 321-324 - 2002
- [j2]Nilanjan Ray, Scott T. Acton, Klaus Ley:
Tracking Leukocytes In Vivo with Shape and Size Constrained Active Contours. IEEE Trans. Medical Imaging 21(10): 1222-1235 (2002) - [c4]Nilanjan Ray, Scott T. Acton:
Tracking fast-rolling leukocytes in vivo with active contours. ICIP (3) 2002: 165-168 - [c3]Nilanjan Ray, Scott T. Acton:
Active Contours for Cell Tracking. SSIAI 2002: 274- - 2001
- [j1]Nilanjan Ray, Bhabatosh Chanda, Jyotirmay Das:
A fast and flexible multiresolution snake with a definite termination criterion. Pattern Recognit. 34(7): 1483-1490 (2001) - [c2]Nilanjan Ray, Joebob P. Havlicek, Scott T. Acton, Marios S. Pattichis:
Active contour segmentation guided by AM-FM dominant component analysis. ICIP (1) 2001: 78-81 - [c1]Nilanjan Ray, Scott T. Acton, Talissa A. Altes, Eduard E. de Lange:
MRI ventilation analysis by merging parametric active contours. ICIP (2) 2001: 861-864
Coauthor Index
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