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Nikhil Kumar Tomar
Nikhil Kumar Tomar
Indira Gandhi National Open University, India
Verified email at northwestern.edu - Homepage
Title
Cited by
Cited by
Year
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
D Jha, S Ali, NK Tomar, HD Johansen, D Johansen, J Rittscher, ...
Ieee Access 9, 40496-40510, 2021
2602021
Fanet: A feedback attention network for improved biomedical image segmentation
NK Tomar, D Jha, MA Riegler, HD Johansen, D Johansen, J Rittscher, ...
IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9375-9388, 2022
1642022
DDANet: Dual decoder attention network for automatic polyp segmentation
NK Tomar, D Jha, S Ali, HD Johansen, D Johansen, MA Riegler, ...
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
1212021
TGANet: Text-guided attention for improved polyp segmentation
NK Tomar, D Jha, U Bagci, S Ali
International Conference on Medical Image Computing and Computer-Assisted …, 2022
952022
Nanonet: Real-time polyp segmentation in video capsule endoscopy and colonoscopy
D Jha, NK Tomar, S Ali, MA Riegler, HD Johansen, D Johansen, ...
2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021
592021
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat, C Yang, W Li, A Galdran, ...
Scientific Reports 14 (1), 2032, 2024
392024
TransResU-Net: Transformer based ResU-Net for real-time colonoscopy polyp segmentation
NK Tomar, A Shergill, B Rieders, U Bagci, D Jha
arXiv preprint arXiv:2206.08985, 2022
322022
Automatic polyp segmentation using u-net-resnet50
S Alam, NK Tomar, A Thakur, D Jha, A Rauniyar
arXiv preprint arXiv:2012.15247, 2020
272020
TransNetR: transformer-based residual network for polyp segmentation with multi-center out-of-distribution testing
D Jha, NK Tomar, V Sharma, U Bagci
Medical Imaging with Deep Learning, 1372-1384, 2024
202024
Video capsule endoscopy classification using focal modulation guided convolutional neural network
A Srivastava, NK Tomar, U Bagci, D Jha
2022 IEEE 35th International Symposium on Computer-Based Medical Systems …, 2022
152022
Automatic polyp segmentation with multiple kernel dilated convolution network
NK Tomar, A Srivastava, U Bagci, D Jha
2022 IEEE 35th International Symposium on Computer-Based Medical Systems …, 2022
152022
Dilatedsegnet: A deep dilated segmentation network for polyp segmentation
NK Tomar, D Jha, U Bagci
International conference on multimedia modeling, 334-344, 2023
132023
Exploring deep learning methods for real-time surgical instrument segmentation in laparoscopy
D Jha, S Ali, NK Tomar, MA Riegler, D Johansen, HD Johansen, ...
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
122021
Convsegnet: automated polyp segmentation from colonoscopy using context feature refinement with multiple convolutional kernel sizes
AO Ige, NK Tomar, FO Aranuwa, O Oriola, AO Akingbesote, MHM Noor, ...
IEEE Access 11, 16142-16155, 2023
72023
2020 cataracts semantic segmentation challenge
I Luengo, M Grammatikopoulou, R Mohammadi, C Walsh, CI Nwoye, ...
arXiv preprint arXiv:2110.10965, 2021
72021
Gastrovision: A multi-class endoscopy image dataset for computer aided gastrointestinal disease detection
D Jha, V Sharma, N Dasu, NK Tomar, S Hicks, MK Bhuyan, PK Das, ...
Workshop on Machine Learning for Multimodal Healthcare Data, 125-140, 2023
62023
Ensuring trustworthy medical artificial intelligence through ethical and philosophical principles
D Jha, A Rauniyar, A Srivastava, DH Hagos, NK Tomar, V Sharma, ...
arXiv preprint arXiv:2304.11530, 2023
52023
Automatic polyp segmentation using fully convolutional neural network
NK Tomar
arXiv preprint arXiv:2101.04001, 2021
52021
Iterative deep learning for improved segmentation of endoscopic images
NK Tomar, S Ali
Nordic Machine Intelligence 1 (1), 38-40, 2021
42021
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
D Jha, NK Tomar, K Biswas, G Durak, A Medetalibeyoglu, M Antalek, ...
arXiv preprint arXiv:2401.09630, 2024
32024
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