default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNikhil Kumar Tomar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j4]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:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025)- 2024
- [c17]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. ISBI 2024: 1-5 - [c16]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:
Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. MICCAI (9) 2024: 65-74 - [c15]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:
Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 176-187 - [i25]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation via PVT-based Encoding and Refined Decoding. CoRR abs/2401.09630 (2024) - [i24]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 abs/2405.06166 (2024) - [i23]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 abs/2406.11868 (2024) - [i22]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:
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR abs/2409.00045 (2024) - [i21]Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Tyler M. Berzin, Rajesh Keswani, Michael B. Wallace, Ulas Bagci:
Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation. CoRR abs/2409.05875 (2024) - 2023
- [j3]Ayokunle Olalekan Ige, Nikhil Kumar Tomar, Felix Ola Aranuwa, Oluwafemi Oriola, Alaba O. Akingbesote, Mohd Halim Mohd Noor, Manuel Mazzara, Segun Benjamin Aribisala:
ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes. IEEE Access 11: 16142-16155 (2023) - [j2]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): 9375-9388 (2023) - [c14]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: 1-4 - [c13]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: residual upsampling network for real-time polyp segmentation. Medical Imaging: Computer-Aided Diagnosis 2023 - [c12]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: 1372-1384 - [c11]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: 125-140 - [c10]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. MMM (1) 2023: 334-344 - [i20]Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
RUPNet: Residual upsampling network for real-time polyp segmentation. CoRR abs/2301.02703 (2023) - [i19]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 abs/2303.07428 (2023) - [i18]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 abs/2304.11530 (2023) - [i17]Debesh Jha, Nikhil Kumar Tomar, Ulas Bagci:
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation. CoRR abs/2306.02176 (2023) - [i16]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 abs/2307.08140 (2023) - [i15]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 abs/2307.16262 (2023) - [i14]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
Prototype Learning for Out-of-Distribution Polyp Segmentation. CoRR abs/2308.03709 (2023) - [i13]Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. CoRR abs/2312.11480 (2023) - 2022
- [c9]Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha:
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CBMS 2022: 317-322 - [c8]Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CBMS 2022: 323-328 - [c7]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-Guided Attention for Improved Polyp Segmentation. MICCAI (3) 2022: 151-160 - [i12]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 abs/2202.12031 (2022) - [i11]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali:
TGANet: Text-guided attention for improved polyp segmentation. CoRR abs/2205.04280 (2022) - [i10]Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha:
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. CoRR abs/2206.06264 (2022) - [i9]Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha:
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network. CoRR abs/2206.08298 (2022) - [i8]Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders, Ulas Bagci, Debesh Jha:
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation. CoRR abs/2206.08985 (2022) - [i7]Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci:
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation. CoRR abs/2210.13595 (2022) - 2021
- [j1]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: 40496-40510 (2021) - [c6]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: 1-4 - [c5]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: 37-43 - [c4]Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali:
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI 2021: 49-58 - [i6]Nikhil Kumar Tomar:
Automatic Polyp Segmentation using Fully Convolutional Neural Network. CoRR abs/2101.04001 (2021) - [i5]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 abs/2103.17235 (2021) - [i4]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 abs/2104.11138 (2021) - [i3]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 abs/2110.10965 (2021) - 2020
- [c3]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: 307-314 - [c2]Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar:
Automatic Polyp Segmentation Using U-Net-ResNet50. MediaEval 2020 - [c1]Nikhil Kumar Tomar:
Automatic Polyp Segmentation Using Fully Convolutional Neural Network. MediaEval 2020 - [i2]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 abs/2012.15245 (2020) - [i1]Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar:
Automatic Polyp Segmentation using U-Net-ResNet50. CoRR abs/2012.15247 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 20:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
