Nikhil Kumar Tomar

52 papers A 1B 3Misc 2Journal 31Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. ICASSP Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Vandan Gorade, Abhijit Das, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci
2025	A	`conf`	Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. WACV Koushik Biswas, Amit Reza, Meghana Karri, Debesh Jha, Hongyi Pan, Nikhil Kumar Tomar, Aliza Subedi, Smriti Regmi, Ulas Bagci
2025	J	`jnl`	SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes. CoRR Jun Zeng, Yannan Huang, Elif Keles, Halil Ertugrul Aktas, Gorkem Durak, Nikhil Kumar Tomar, Quoc-Huy Trinh, Deepak Ranjan Nayak, Ulas Bagci, Debesh Jha
2025	Misc	`conf`	Transformer-Enhanced Iterative Feedback Mechanism For Polyp Segmentation. ICASSP Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Ulas Bagci
2025	J	`jnl`	Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 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, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci
2025	J	`jnl`	When CNNs Outperform Transformers and Mambas: Revisiting Deep Architectures for Dental Caries Segmentation. CoRR Aashish Ghimire, Jun Zeng, Roshan Paudel, Nikhil Kumar Tomar, Deepak Ranjan Nayak, Harshith Reddy Nalla, Vivek Jha, Glenda Reynolds, Debesh Jha
2024	—	`conf`	Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. MICCAI (9) 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
2024	—	`conf`	CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. ISBI Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci
2024	J	`jnl`	CT Liver Segmentation via PVT-based Encoding and Refined Decoding. CoRR Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci
2024	J	`jnl`	Ethical Framework for Responsible Foundational Models in Medical Imaging. CoRR Abhijit Das, Debesh Jha, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar, Ashish Rauniyar, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
2024	J	`jnl`	MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. CoRR Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci
2024	J	`jnl`	PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR 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, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci
2024	—	`conf`	Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci
2024	—	`conf`	TransRUPNet for Improved Polyp Segmentation. EMBC Debesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, Koushik Biswas, Ulas Bagci
2024	J	`jnl`	Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation. CoRR Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Tyler M. Berzin, Rajesh Keswani, Michael B. Wallace, Ulas Bagci
2023	J	`jnl`	Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. CoRR Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci
2023	J	`jnl`	An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR 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, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
2023	J	`jnl`	ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes. IEEE Access Ayokunle Olalekan Ige, Nikhil Kumar Tomar, Felix Ola Aranuwa, Oluwafemi Oriola, Alaba O. Akingbesote, Mohd Halim Mohd Noor, Manuel Mazzara, Segun Benjamin Aribisala
2023	—	`conf`	DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. MMM (1) Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
2023	J	`jnl`	Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci
2023	J	`jnl`	FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
2023	—	`conf`	GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD 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
2023	J	`jnl`	GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci
2023	J	`jnl`	Prototype Learning for Out-of-Distribution Polyp Segmentation. CoRR Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
2023	J	`jnl`	RUPNet: Residual upsampling network for real-time polyp segmentation. CoRR Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
2023	—	`conf`	RUPNet: residual upsampling network for real-time polyp segmentation. Computer-Aided Diagnosis Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
2023	—	`conf`	TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. MIDL Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
2023	J	`jnl`	TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. CoRR Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
2023	J	`jnl`	TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. CoRR Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci
2023	—	`conf`	TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation. EMBC Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha
2022	J	`jnl`	Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
2022	B	`conf`	Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CBMS Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha
2022	J	`jnl`	Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CoRR Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha
2022	J	`jnl`	DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. CoRR Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
2022	—	`conf`	TGANet: Text-Guided Attention for Improved Polyp Segmentation. MICCAI (3) Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
2022	J	`jnl`	TGANet: Text-guided attention for improved polyp segmentation. CoRR Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
2022	J	`jnl`	TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. CoRR Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha
2022	B	`conf`	Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CBMS Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
2022	J	`jnl`	Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CoRR Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
2021	J	`jnl`	2020 CATARACTS Semantic Segmentation Challenge. CoRR 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, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Hongliang Ren, Theodoros Pissas, Claudio S. Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov
2021	J	`jnl`	Automatic Polyp Segmentation using Fully Convolutional Neural Network. CoRR Nikhil Kumar Tomar
2021	—	`conf`	Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. BHI Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
2021	J	`jnl`	FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
2021	—	`conf`	Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali
2021	B	`conf`	NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CBMS Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
2021	J	`jnl`	NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CoRR Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
2021	J	`jnl`	Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
2020	—	`conf`	Automatic Polyp Segmentation Using Fully Convolutional Neural Network. MediaEval Nikhil Kumar Tomar
2020	—	`conf`	Automatic Polyp Segmentation Using U-Net-ResNet50. MediaEval Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar
2020	J	`jnl`	Automatic Polyp Segmentation using U-Net-ResNet50. CoRR Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar
2020	—	`conf`	DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR Workshops (8) Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen
2020	J	`jnl`	DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. CoRR Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen