DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Sharib Ali; Håvard D. Johansen; Dag Johansen; Michael A. Riegler; Pål Halvorsen (ICPR Workshops (8), 2020)

Automatic Polyp Segmentation Using U-Net-ResNet50. - Saruar Alam; Nikhil Kumar Tomar; Aarati Thakur; Debesh Jha; Ashish Rauniyar (MediaEval, 2020)

Automatic Polyp Segmentation Using Fully Convolutional Neural Network. - Nikhil Kumar Tomar (MediaEval, 2020)

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. - Debesh Jha; Sharib Ali; Nikhil Kumar Tomar; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (BHI, 2021)

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Sharib Ali; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Pål Halvorsen (CBMS, 2021)

Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. - Nikhil Kumar Tomar; Nabil Ibtehaz; Debesh Jha; Pål Halvorsen; Sharib Ali (EndoCV@ISBI, 2021)

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. - Debesh Jha; Sharib Ali; Nikhil Kumar Tomar; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Michael A. Riegler; Pål Halvorsen (IEEE Access, 2021)

2020 CATARACTS Semantic Segmentation Challenge. - Imanol Luengo; Maria Grammatikopoulou; Rahim Mohammadi; Chris Walsh; Chinedu Innocent Nwoye; Deepak Alapatt; Nicolas Padoy; Zhen-Liang Ni; Chen-Chen Fan; Gui-Bin Bian; Zeng-Guang Hou; Heonjin Ha; et al. (CoRR, 2021)

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. - Abhishek Srivastava; Nikhil Kumar Tomar; Ulas Bagci; Debesh Jha (CBMS, 2022)

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. - Nikhil Kumar Tomar; Abhishek Srivastava; Ulas Bagci; Debesh Jha (CBMS, 2022)

TGANet: Text-Guided Attention for Improved Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci; Sharib Ali (MICCAI (3), 2022)

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. - Sharib Ali; Noha M. Ghatwary; Debesh Jha; Ece Isik-Polat; Gorkem Polat; Chen Yang 026; Wuyang Li; Adrian Galdran; Miguel Ángel González Ballester; Vajira Thambawita; Steven Hicks; Sahadev Poudel; et al. (CoRR, 2022)

TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. - Nikhil Kumar Tomar; Annie Shergill; Brandon Rieders; Ulas Bagci; Debesh Jha (CoRR, 2022)

TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation. - Nikhil Kumar Tomar; Annie Shergill; Brandon Rieders; Ulas Bagci; Debesh Jha (EMBC, 2023)

RUPNet: residual upsampling network for real-time polyp segmentation. - Nikhil Kumar Tomar; Ulas Bagci; Debesh Jha (Computer-Aided Diagnosis, 2023)

TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. - Debesh Jha; Nikhil Kumar Tomar; Vanshali Sharma; Ulas Bagci (MIDL, 2023)

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. - Debesh Jha; Vanshali Sharma; Neethi Dasu; Nikhil Kumar Tomar; Steven Hicks; Manas Kamal Bhuyan; Pradip K. Das; Michael A. Riegler; Pål Halvorsen; Ulas Bagci; Thomas de Lange (ML4MHD, 2023)

DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci (MMM (1), 2023)

ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes. - Ayokunle Olalekan Ige; Nikhil Kumar Tomar; Felix Ola Aranuwa; Oluwafemi Oriola; Alaba O. Akingbesote; Mohd Halim Mohd Noor; Manuel Mazzara; Segun Benjamin Aribisala (IEEE Access, 2023)

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. - Debesh Jha; Ashish Rauniyar; Abhishek Srivastava; Desta Haileselassie Hagos; Nikhil Kumar Tomar; Vanshali Sharma; Elif Keles; Zheyuan Zhang 001; Ugur Demir; Ahmet Topcu; Anis Yazidi; Jan Erik Håkegård; et al. (CoRR, 2023)

TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Ulas Bagci (CoRR, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (CoRR, 2023)

Prototype Learning for Out-of-Distribution Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci (CoRR, 2023)

Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. - Koushik Biswas; Debesh Jha; Nikhil Kumar Tomar; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; Ulas Bagci (CoRR, 2023)

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Jens Rittscher; Pål Halvorsen; Sharib Ali (IEEE Trans. Neural Networks Learn. Syst., 2023)

TransRUPNet for Improved Polyp Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Debayan Bhattacharya; Koushik Biswas; Ulas Bagci (EMBC, 2024)

CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; Ulas Bagci (ISBI, 2024)

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. - Koushik Biswas; Debesh Jha; Nikhil Kumar Tomar; Meghana Karri; Amit Reza; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; Ulas Bagci (MICCAI (9), 2024)

Practical and Ethical Considerations for Generative AI in Medical Imaging. - Debesh Jha; Ashish Rauniyar; Desta Haileselassie Hagos; Vanshali Sharma; Nikhil Kumar Tomar; Zheyuan Zhang 001; Ilkin Isler; Gorkem Durak; Michael B. Wallace; Cemal Yazici; Tyler M. Berzin; Koushik Biswas; et al. (FAIMI/EPIMI@MICCAI, 2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang 001; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Yury Velichko; Daniela P. Ladner; et al. (CoRR, 2024)

Ethical Framework for Responsible Foundational Models in Medical Imaging. - Abhijit Das; Debesh Jha; Jasmer Sanjotra; Onkar Susladkar; Suramyaa Sarkar; Ashish Rauniyar; Nikhil Kumar Tomar; Vanshali Sharma; Ulas Bagci (CoRR, 2024)

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Vanshali Sharma; Quoc-Huy Trinh; Koushik Biswas; Hongyi Pan; Ritika Kumari Jha; Gorkem Durak; Alexander Hann; Jonas Varkey; Hang Viet Dao; Long Van Dao; et al. (CoRR, 2024)

Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Koushik Biswas; Tyler M. Berzin; Rajesh Keswani; Michael B. Wallace; Ulas Bagci (CoRR, 2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang 001; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Vandan Gorade; Abhijit Das; et al. (ICASSP, 2025)

Transformer-Enhanced Iterative Feedback Mechanism For Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Koushik Biswas; Ulas Bagci (ICASSP, 2025)

Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. - Koushik Biswas; Amit Reza; Meghana Karri; Debesh Jha; Hongyi Pan; Nikhil Kumar Tomar; Aliza Subedi; Smriti Regmi; Ulas Bagci (WACV, 2025)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (Medical Image Anal., 2025)

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes. - Jun Zeng 007; Yannan Huang; Elif Keles; Halil Ertugrul Aktas; Gorkem Durak; Nikhil Kumar Tomar; Quoc-Huy Trinh; Deepak Ranjan Nayak; Ulas Bagci; Debesh Jha (CoRR, 2025)