Nishchal Sapkota

According to our database, Nishchal Sapkota authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation.

Nishchal Sapkota, Haoyan Shi, Yejia Zhang, Xianshi Ma, Bofang Zheng, Fabian Vazquez, Pengfei Gu, Danny Z. Chen

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation.

Nishchal Sapkota, Haoyan Shi, Yejia Zhang, Xianshi Ma, Bofang Zheng, Danny Z. Chen

CoRR, November, 2025

H-CNN-ViT: A Hierarchical Gated Attention Multi-Branch Model for Bladder Cancer Recurrence Prediction.

Xueyang Li, Zongren Wang, Yuliang Zhang, Zixuan Pan, Yu-Jen Chen, Nishchal Sapkota, Gelei Xu, Danny Z. Chen, Yiyu Shi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

UniCoN: Universal Conditional Networks for Multi-Age Embryonic Cartilage Segmentation with Sparsely Annotated Data.

Nishchal Sapkota, Yejia Zhang, Zihao Zhao, Maria Gomez, Yuhan Hsi, Jordan A. Wilson, Kazuhiko Kawasaki, Greg Holmes, Meng Wu, Ethylin W. Jabs, Joan T. Richtsmeier, Susan M. Motch Perrine, Danny Z. Chen

CoRR, 2024

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images.

Yejia Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen, Nishchal Sapkota, Pengfei Gu, Danny Z. Chen, Le Lu, Ke Yan, Dakai Jin, Yun Bian, Hui Jiang

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Boosting Medical Image Classification with Segmentation Foundation Model.

Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng Peng, Yizhe Zhang, Nishchal Sapkota, Chaoli Wang, Danny Z. Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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