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Nikhil Kumar Tomar

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Proceedings. IEEE International Symposium on Computer-Based Medical Systems|February 13, 2023
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution NetworkNikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, et al.
Proceedings. IEEE International Symposium on Computer-Based Medical Systems|February 13, 2023
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural NetworkAbhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 13, 2023
TGANet: Text-guided attention for improved polyp segmentationNikhil Kumar Tomar, Debesh Jha, Ulas Bagci, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
TransRUPNet for Improved Polyp SegmentationDebesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp SegmentationNikhil Kumar Tomar, Annie Shergill, Brandon Rieders, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningDebesh Jha, Sharib Ali, Nikhil Kumar Tomar, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 25, 2022
FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationNikhil Kumar Tomar, Debesh Jha, Michael A Riegler, et al.
Bioengineering (Basel, Switzerland)|February 26, 2025
A Conceptual Framework for Applying Ethical Principles of AI to Medical PracticeDebesh Jha, Gorkem Durak, Vanshali Sharma, et al.
Scientific Reports|January 23, 2024
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challengeSharib Ali, Noha Ghatwary, Debesh Jha, et al.
Medical Image Analysis|September 20, 2024
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 ChallengesDebesh Jha, Vanshali Sharma, Debapriya Banik, et al.
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Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Proceedings. IEEE International Symposium on Computer-Based Medical Systems|February 13, 2023
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution NetworkNikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, et al.
Proceedings. IEEE International Symposium on Computer-Based Medical Systems|February 13, 2023
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural NetworkAbhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 13, 2023
TGANet: Text-guided attention for improved polyp segmentationNikhil Kumar Tomar, Debesh Jha, Ulas Bagci, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
TransRUPNet for Improved Polyp SegmentationDebesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp SegmentationNikhil Kumar Tomar, Annie Shergill, Brandon Rieders, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningDebesh Jha, Sharib Ali, Nikhil Kumar Tomar, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 25, 2022
FANet: A Feedback Attention Network for Improved Biomedical Image SegmentationNikhil Kumar Tomar, Debesh Jha, Michael A Riegler, et al.
Bioengineering (Basel, Switzerland)|February 26, 2025
A Conceptual Framework for Applying Ethical Principles of AI to Medical PracticeDebesh Jha, Gorkem Durak, Vanshali Sharma, et al.
Scientific Reports|January 23, 2024
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challengeSharib Ali, Noha Ghatwary, Debesh Jha, et al.
Medical Image Analysis|September 20, 2024
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 ChallengesDebesh Jha, Vanshali Sharma, Debapriya Banik, et al.
Pageof 1