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Bidur Khanal

Showing results (1-10 of 10) with videos related to

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ACS Omega|December 20, 2021
Machine-Learning-Assisted Analysis of Colorimetric Assays on Paper Analytical DevicesBidur Khanal, Pravin Pokhrel, Bishesh Khanal, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 10, 2025
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label NoiseBidur Khanal, Tianhong Dai, Binod Bhattarai, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 25, 2026
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI ImagesBipasha Kundu, Bidur Khanal, Richard Simon, et al.
Data Engineering in Medical Imaging : First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. DEMI (Workshop) (1St : 2023 : Vancouver, B.C.)|August 15, 2024
Improving Medical Image Classification in Noisy Labels Using only Self-supervised PretrainingBidur Khanal, Binod Bhattarai, Bishesh Khanal, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH (Conference)|March 26, 2026
Investigating the Domain Adaptability of General-Purpose Foundation Models for Left Atrium Segmentation from MR ImagesBipasha Kundu, Bidur Khanal, Richard Simon, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 1, 2023
Investigating the impact of class-dependent label noise in medical image classificationBidur Khanal, S M Kamrul Hasan, Bishesh Khanal, et al.
Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (Conference)|August 19, 2024
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksBidur Khanal, Binod Bhattarai, Bishesh Khanal, 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
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image ClassificationBidur Khanal, Prashant Shrestha, Sanskar Amgain, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 25, 2026
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language ModelsBidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, et al.
Medical Image Analysis|June 16, 2021
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challengeLiansheng Wang, Cong Xie, Yi Lin, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
ACS Omega|December 20, 2021
Machine-Learning-Assisted Analysis of Colorimetric Assays on Paper Analytical DevicesBidur Khanal, Pravin Pokhrel, Bishesh Khanal, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 10, 2025
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label NoiseBidur Khanal, Tianhong Dai, Binod Bhattarai, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 25, 2026
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI ImagesBipasha Kundu, Bidur Khanal, Richard Simon, et al.
Data Engineering in Medical Imaging : First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. DEMI (Workshop) (1St : 2023 : Vancouver, B.C.)|August 15, 2024
Improving Medical Image Classification in Noisy Labels Using only Self-supervised PretrainingBidur Khanal, Binod Bhattarai, Bishesh Khanal, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH (Conference)|March 26, 2026
Investigating the Domain Adaptability of General-Purpose Foundation Models for Left Atrium Segmentation from MR ImagesBipasha Kundu, Bidur Khanal, Richard Simon, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 1, 2023
Investigating the impact of class-dependent label noise in medical image classificationBidur Khanal, S M Kamrul Hasan, Bishesh Khanal, et al.
Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (Conference)|August 19, 2024
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksBidur Khanal, Binod Bhattarai, Bishesh Khanal, 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
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image ClassificationBidur Khanal, Prashant Shrestha, Sanskar Amgain, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 25, 2026
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language ModelsBidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, et al.
Medical Image Analysis|June 16, 2021
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challengeLiansheng Wang, Cong Xie, Yi Lin, et al.
Pageof 1