Nilanjan Ray, PhD

Professor, Faculty of Science - Computing Science

Contact Overview Publications Links

Contact

Professor, Faculty of Science - Computing Science

Email: nray1@ualberta.ca
Address: 7-192 University Commons
11308 - 89 Ave NW

Edmonton AB

T6G 2N8

Overview

Area of Study / Keywords

Computer vision Image analysis Medical image processing Deep learning

About

I joined Computing Science, University of Alberta as an Assistant Professor in 2006. I was promoted to Associate Professor in 2013.

Education

B.Engg., Mechanical Egnineering, Jadavpur University, India, 1995
M.Tech., Computer Science, Indian Statistical Institute, India, 1997
Ph.D., Electrical Engineering, University of Virginia, USA, 2003

Associate Editor

IEEE Transactions on Image Processing (2013-2017)
IET Image Processing (2016-2022)

General Co-chair

2017 AI/GI/CRV Conference, Edmonton

Books Co-authored

Scott T. Acton and Nilanjan Ray, Biomedical image analysis: Tracking. Morgan & Claypool Publishers, 2006.
Scott T. Acton and Nilanjan Ray, Biomedical image analysis: Segmentation. Morgan & Claypool Publishers, 2009.

Research

Area

Computer vision and deep learning; image and video analysis, medical image processing

Interests

Medical image and video analysis and general computer vision problems including segmentation, registration, object detection and classification.

Projects

Pedestrian and vehicle counting
Microscopy image and video segmentation and registration
Breast cancer histopathology image analysis
Oilsand slurry image and video analysis
Non-invasive blood pressure monitoring
Brain tumor localization

Featured Publications

Computerized Diagnosis Methods for Pediatric Cardiology: A Review

R. Shantha Selvakumari, Kumaradevan Punithakumar, D. Selvathi, S. Chrisilla, R. Sri Abinaya, Nilanjan Ray

IEEE Access. 2025 January; 10.1109/ACCESS.2025.3545829

Improving Token-Based Object Detection With Video

Abhineet Singh, Nilanjan Ray

IEEE Access. 2025 January; 10.1109/ACCESS.2025.3596215

Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning

Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu, Nilanjan Ray, Dana Cobzas

Machine Learning for Biomedical Imaging. 2024 November; 10.59275/j.melba.2024-267f

Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review

S. Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin

ACM Computing Surveys. 2024 April; 10.1145/3625387

Towards Early Prediction of Human iPSC Reprogramming Success

Abhineet Singh, Ila Jasra, Omar Mouhammed, Nidheesh Dadheech, Nilanjan Ray, James Shapiro

Machine Learning for Biomedical Imaging. 2023 November; 10.59275/j.melba.2023-3d9d

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 Sensing. 2023 May; 10.3390/rs15102653

Compact Depth-Wise Separable Precise Network for Depth Completion

Tianqi Wang, Nilanjan Ray

IEEE Access. 2023 January; 10.1109/ACCESS.2023.3294247

Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images

Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin

IEEE Geoscience and Remote Sensing Letters. 2023 January; 10.1109/LGRS.2023.3271649

Deep Learning Based Parameterization of Diffeomorphic Image Registration for Cardiac Image Segmentation

Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar

IEEE Transactions on NanoBioscience. 2023 January; 10.1109/TNB.2023.3276867

GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration

Ameneh Sheikhjafari, Michelle Noga, Ahmed Ahmed, Nilanjan Ray, Kumaradevan Punithakumar

IEEE Access. 2023 January; 10.1109/ACCESS.2023.3238058

River Ice Segmentation With Deep Learning

Abhineet Singh, Hayden Kalke, Mark Loewen, Nilanjan Ray

IEEE Transactions on Geoscience and Remote Sensing. 2020 November; 10.1109/TGRS.2020.2981082

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 Sensing. 2020 May; 10.3390/rs12091432

Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection

Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray

IEEE Transactions on Medical Imaging. 2019 November; 10.1109/TMI.2019.2907093

Fast Large-Scale Spectral Clustering via Explicit Feature Mapping

Li He, Nilanjan Ray, Yisheng Guan, Hong Zhang

IEEE Transactions on Cybernetics. 2019 March; 10.1109/TCYB.2018.2794998

Object Classification With Joint Projection and Low-Rank Dictionary Learning

Homa Foroughi, Nilanjan Ray, Hong Zhang

IEEE Transactions on Image Processing. 2018 February; 10.1109/TIP.2017.2766446

Unique people count from monocular videos

Satarupa Mukherjee, Stephani Gil, Nilanjan Ray

The Visual Computer. 31 (10):1405-1417

Robust people counting using sparse representation and random projection

Homa Foroughi, Nilanjan Ray, and Hong Zhang

Pattern Recognition. 48 (10):3038-3052

Quick detection of brain tumors and edemas: A bounding box method using symmetry

Baidya Nath Saha, Nilanjan Ray, Russell Greiner, Albert Murtha, Hong Zhang

Computerized medical imaging and graphics. 36 (2):95-107

MISTICA: Minimum Spanning Tree-based Coarse Image Alignment for Microscopy Image Sequences

Nilanjan Ray, Sara McArdle, Scott T. Acton, Klaus Ley

IEEE Journal of Biomedical and Health Informatics.. 20 (6):1575 - 1584

Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net

Sayan Ghosal, Nilanjan Ray

Pattern Recognition Letters. 94

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