Nishchal Sapkota

According to our database, Nishchal Sapkota authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction.

Hongxiao Wang, Yang Yang, Zhuo Zhao, Pengfei Gu, Nishchal Sapkota, Danny Z. Chen

CoRR, 2024

SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification.

Nishchal Sapkota, Yejia Zhang, Sirui Li, Peixian Liang, Zhuo Zhao, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, Yunxia Cao, Danny Z. Chen

CoRR, 2024

ConUNETR: A Conditional Transformer Network for 3D Micro-CT Embryonic Cartilage Segmentation.

Nishchal Sapkota, Yejia Zhang, Susan M. Motch Perrine, Yuhan Hsi, Sirui Li, Meng Wu, Greg Holmes, Abdul R. Abdulai, Ethylin W. Jabs, Joan T. Richtsmeier, Danny Z. Chen

CoRR, 2024

2023

SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings.

Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning.

Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.

Yejia Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation.

Yejia Zhang, Xinrong Hu, Nishchal Sapkota, Yiyu Shi, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022