Bidur Khanal

According to our database, Bidur Khanal authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

CoRR, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Medical Vision Language Pretraining: A survey.

Prashant Shrestha, Sanskar Amgain, Bidur Khanal, Cristian A. Linte, Binod Bhattarai

CoRR, 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

Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

Investigating the impact of class-dependent label noise in medical image classification.

Bidur Khanal, S. M. Kamrul Hasan, Bishesh Khanal, Cristian A. Linte

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining.

Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte

Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

2022

Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks.

Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim

Proceedings of the 26th International Conference on Pattern Recognition, 2022

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, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li

Medical Image Anal., 2021

Label Geometry Aware Discriminator for Conditional Generative Networks.

Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim

CoRR, 2021

How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?

Bidur Khanal, Christopher Kanan

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

2019

Automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression.

Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019