Skylar E. Stolte

According to our database, Skylar E. Stolte authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

BrainSegFounder: Towards 3D foundation models for neuroimage segmentation.

Joseph Cox, Peng Liu, Skylar E. Stolte, Yunchao Yang, Kang Liu, Kyle B. See, Huiwen Ju, Ruogu Fang

Medical Image Anal., 2024

BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis.

Joseph Cox, Peng Liu, Skylar E. Stolte, Yunchao Yang, Kang Liu, Kyle B. See, Huiwen Ju, Ruogu Fang

CoRR, 2024

Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI.

Skylar E. Stolte, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Ruogu Fang

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

2023

DOMINO: Domain-aware loss for deep learning calibration.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang

Softw. Impacts, March, 2023

DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang

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

2022

Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.

Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu

BMC Medical Informatics Decis. Mak., 2022

DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods.

Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

A survey on medical image analysis in diabetic retinopathy.

Skylar E. Stolte, Ruogu Fang

Medical Image Anal., 2020

Domain-invariant interpretable fundus image quality assessment.

Yaxin Shen, Bin Sheng, Ruogu Fang, Huating Li, Ling Dai, Skylar E. Stolte, Jing Qin, Weiping Jia, Dinggang Shen

Medical Image Anal., 2020

2019

Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration.

Yao Xiao, Skylar E. Stolte, Peng Liu, Yun Liang, Pina C. Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019