Nikhil Kumar Tomar

According to our database, Nikhil Kumar Tomar authored at least 26 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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 Ladner, Amir Borhani, Ulas Bagci

CoRR, 2024

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., November, 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 Ladner, Amir Borhani, Ulas Bagci

CoRR, 2023

Prototype Learning for Out-of-Distribution Polyp Segmentation.

Nikhil Kumar Tomar, Debesh Jha, 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, 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

CoRR, 2023

TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation.

Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci

CoRR, 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, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci

CoRR, 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, Benjamin Segun Aribisala

IEEE Access, 2023

DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation.

Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci

Proceedings of the MultiMedia Modeling - 29th International Conference, 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

Proceedings of the Machine Learning for Multimodal Healthcare Data, 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

Proceedings of the Medical Imaging with Deep Learning, 2023

RUPNet: residual upsampling network for real-time polyp segmentation.

Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation.

Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

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, 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

CoRR, 2022

TGANet: Text-Guided Attention for Improved Polyp Segmentation.

Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network.

Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network.

Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

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, 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

CoRR, 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

Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network.

Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali

Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 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

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Automatic Polyp Segmentation Using Fully Convolutional Neural Network.

Nikhil Kumar Tomar

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Automatic Polyp Segmentation Using U-Net-ResNet50.

Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

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

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020