Nikhil Kumar Tomar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 40

Top Topics

Convolutional Neural Network

Segmentation Method

Top Venues

Publications

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci
CT Liver Segmentation via PVT-based Encoding and Refined Decoding. CoRR (2024)
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
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. CoRR (2024)
Abhijit Das, Debesh Jha, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar, Ashish Rauniyar, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
Ethical Framework for Responsible Foundational Models in Medical Imaging. CoRR (2024)
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. CoRR (2023)
Ayokunle Olalekan Ige, Nikhil Kumar Tomar, Felix Ola Aranuwa, Oluwafemi Oriola, Alaba O. Akingbesote, Mohd Halim Mohd Noor, Manuel Mazzara, Benjamin Segun Aribisala
ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes. IEEE Access 11 (2023)
Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. CoRR (2023)
Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. CoRR (2023)
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. MIDL (2023)
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
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR (2023)
Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
RUPNet: Residual upsampling network for real-time polyp segmentation. CoRR (2023)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
Prototype Learning for Out-of-Distribution Polyp Segmentation. CoRR (2023)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. MMM (1) (2023)
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
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
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR (2023)
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
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD (2023)
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
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR (2023)
Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation. EMBC (2023)
Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
RUPNet: residual upsampling network for real-time polyp segmentation. Medical Imaging: Computer-Aided Diagnosis (2023)
Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CBMS (2022)
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
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR (2022)
Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CoRR (2022)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. CoRR (2022)
Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CoRR (2022)
Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CBMS (2022)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
TGANet: Text-guided attention for improved polyp segmentation. CoRR (2022)
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
TGANet: Text-Guided Attention for Improved Polyp Segmentation. MICCAI (3) (2022)
Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. CoRR (2022)
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
2020 CATARACTS Semantic Segmentation Challenge. CoRR (2021)
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. BHI (2021)
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CBMS (2021)
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 9 (2021)
Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI (2021)
Nikhil Kumar Tomar
Automatic Polyp Segmentation using Fully Convolutional Neural Network. CoRR (2021)
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CoRR (2021)
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR (2021)
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR Workshops (8) (2020)
Nikhil Kumar Tomar
Automatic Polyp Segmentation Using Fully Convolutional Neural Network. MediaEval (2020)
Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar
Automatic Polyp Segmentation Using U-Net-ResNet50. MediaEval (2020)
Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar
Automatic Polyp Segmentation using U-Net-ResNet50. CoRR (2020)
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. CoRR (2020)