Automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression. - Bidur Khanal; Lavsen Dahal; Prashant Adhikari; Bishesh Khanal (CSI@MICCAI, 2019)

How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? - Bidur Khanal; Christopher Kanan (ISVC (2), 2021)

Label Geometry Aware Discriminator for Conditional Generative Networks. - Suman Sapkota; Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Tae-Kyun Kim 001 (CoRR, 2021)

Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. - Liansheng Wang; Cong Xie; Yi Lin; Hong-Yu Zhou; Kailin Chen; Dalong Cheng; Florian Dubost; Benjamin Collery; Bidur Khanal; Bishesh Khanal; Rong Tao; Shangliang Xu; et al. (Medical Image Anal., 2021)

Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. - Suman Sapkota; Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Tae-Kyun Kim 001 (ICPR, 2022)

Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. - Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Cristian A. Linte (DEMI@MICCAI, 2023)

Investigating the impact of class-dependent label noise in medical image classification. - Bidur Khanal; S. M. Kamrul Hasan; Bishesh Khanal; Cristian A. Linte (Image Processing, 2023)

M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. - Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Danail Stoyanov; Cristian A. Linte (MIUA, 2023)

Medical Vision Language Pretraining: A survey. - Prashant Shrestha; Sanskar Amgain; Bidur Khanal; Cristian A. Linte; Binod Bhattarai (CoRR, 2023)

Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification. - Bidur Khanal; Prashant Shrestha; Sanskar Amgain; Bishesh Khanal; Binod Bhattarai; Cristian A. Linte (EMBC, 2024)

Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise. - Bidur Khanal; Tianhong Dai; Binod Bhattarai; Cristian A. Linte (MICCAI (11), 2024)

How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? - Bidur Khanal; Binod Bhattarai; Bishesh Khanal; Cristian A. Linte (CoRR, 2024)

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images. - Bipasha Kundu; Bidur Khanal; Richard A. Simon; Cristian A. Linte (CoRR, 2024)

Investigating the Domain Adaptability of General-Purpose Foundation Models for Left Atrium Segmentation from MR Images. - Bipasha Kundu; Bidur Khanal; Richard A. Simon; Cristian A. Linte (FIMH (2), 2025)

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models. - Bidur Khanal; Sandesh Pokhrel; Sanjay Bhandari; Ramesh Rana; Nikesh Shrestha; Ram Bahadur Gurung; Cristian A. Linte; Angus Watson; Yash Raj Shrestha; Binod Bhattarai (CoRR, 2025)