| 2025 | MICCAI | 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 |
| 2024 | MICCAI | 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 |
| 2023 | MICCAI | Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. | Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte |
| 2022 | ICPR | Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. | Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim |
| 2021 | ISVC | How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? | Bidur Khanal, Christopher Kanan |
| 2019 | MICCAI | Automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression. | Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal |