Nilanjan Ray

Nilanjan Ray

University of Alberta

H-index: 34

North America-Canada

About Nilanjan Ray

Nilanjan Ray, With an exceptional h-index of 34 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of deep learning, computer vision, image and video analysis, medical imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery

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

GPEX, A Framework For Interpreting Artificial Neural Networks

Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection

Orthomosaicking thermal drone images of forests via simultaneously acquired RGB images

TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection

Crown-CAM: interpretable visual explanations for tree crown detection in aerial images

Compact Depth-wise Separable Precise Network For Depth Completion

Nilanjan Ray Information

University

Position

Professor Department of Computing Science

Citations(all)

3990

Citations(since 2020)

1742

Cited By

2869

hIndex(all)

34

hIndex(since 2020)

23

i10Index(all)

74

i10Index(since 2020)

44

Email

University Profile Page

University of Alberta

Google Scholar

View Google Scholar Profile

Nilanjan Ray Skills & Research Interests

deep learning

computer vision

image and video analysis

medical imaging

Top articles of Nilanjan Ray

Title

Journal

Author(s)

Publication Date

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

2024

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

arXiv preprint arXiv:2404.00785

Jakaria Rabbi

Johannes Kiechle

Christian Beaulieu

Nilanjan Ray

Dana Cobzas

2024/3/31

GPEX, A Framework For Interpreting Artificial Neural Networks

Advances in Neural Information Processing Systems

Amir Hossein Hosseini Akbarnejad

Gilbert Bigras

Nilanjan Ray

2024/2/13

Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection

Seyed Mojtaba Marvasti-Zadeh

Nilanjan Ray

Nadir Erbilgin

2024

Orthomosaicking thermal drone images of forests via simultaneously acquired RGB images

Remote Sensing

Rudraksh Kapil

Guillermo Castilla

Seyed Mojtaba Marvasti-Zadeh

Devin Goodsman

Nadir Erbilgin

...

2023/5/19

TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection

arXiv preprint arXiv:2307.13755

Seyed Mojtaba Marvasti-Zadeh

Nilanjan Ray

Nadir Erbilgin

2023/7/25

Crown-CAM: interpretable visual explanations for tree crown detection in aerial images

IEEE Geoscience and Remote Sensing Letters

Seyed Mojtaba Marvasti-Zadeh

Devin Goodsman

Nilanjan Ray

Nadir Erbilgin

2023/5/1

Compact Depth-wise Separable Precise Network For Depth Completion

IEEE Access

Tianqi Wang

Nilanjan Ray

2023/7/11

A Closer Look at Weak Supervision’s Limitations in WSI Recurrence Score Prediction

Namitha Guruprasad

Penny J Barnes

Amir Akbarnejad

Gilbert Bigras

Nilanjan Ray

2023/12/5

Weakly supervised realtime dynamic background subtraction

arXiv preprint arXiv:2303.02857

Fateme Bahri

Nilanjan Ray

2023/3/6

Document Image Cleaning using Budget-Aware Black-Box Approximation

arXiv preprint arXiv:2306.13236

Ganesh Tata

Katyani Singh

Eric Van Oeveren

Nilanjan Ray

2023/6/22

Preprocessor training for optical character recognition

2023/11/28

GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration

IEEE Access

Ameneh Sheikhjafari

Michelle Noga

Ahmed Ahmed

Nilanjan Ray

Kumaradevan Punithakumar

2023/1/19

Towards Early Prediction of Human iPSC Reprogramming Success

arXiv preprint arXiv:2305.14575

Abhineet Singh

Ila Jasra

Omar Mouhammed

Nidheesh Dadheech

Nilanjan Ray

...

2023/5/23

Early detection of bark beetle attack using remote sensing and machine learning: A review

Seyed Mojtaba Marvasti-Zadeh

Devin Goodsman

Nilanjan Ray

Nadir Erbilgin

2022/10/1

Unpaired Document Image Denoising for OCR using BiLSTM enhanced CycleGAN

Katyani Singh

2023

Deep learning based parameterization of diffeomorphic image registration for cardiac image segmentation

IEEE Transactions on NanoBioscience

Ameneh Sheikhjafari

Deepa Krishnaswamy

Michelle Noga

Nilanjan Ray

Kumaradevan Punithakumar

2023/5/23

Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images

arXiv preprint arXiv:2308.01982

Amir Akbarnejad

Nilanjan Ray

Penny J Barnes

Gilbert Bigras

2023/8/3

Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey

arXiv preprint arXiv:2207.04512

Seyed Mojtaba Marvasti-Zadeh

Mohammad NS Jahromi

Javad Khaghani

Devin Goodsman

Nilanjan Ray

...

2022/7/10

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

2022/12/6

See List of Professors in Nilanjan Ray University(University of Alberta)

Co-Authors

H-index: 70
Raj Padwal

Raj Padwal

University of Alberta

H-index: 69
Russ Greiner

Russ Greiner

University of Alberta

H-index: 52
Hong Zhang

Hong Zhang

University of Alberta

H-index: 48
Scott T. Acton

Scott T. Acton

University of Virginia

H-index: 41
Bhabatosh Chanda

Bhabatosh Chanda

Indian Statistical Institute

H-index: 39
Martin Jagersand

Martin Jagersand

University of Alberta

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