Kyle B. See

According to our database, Kyle B. See authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion.

Wasif Khan, Kyle B. See, Simon Kato, Ziqian Huang, Amy Lazarte, Kyle Douglas, Xiangyang Lou, Teng J. Peng, Dhanashree A. Rajderkar, John H. Rees, Pina C. Sanelli, Amita Singh, Ibrahim Tuna, Christina A. Wilson, Ruogu Fang

CoRR, May, 2025

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation.

Md Mahfuz Al Hasan, Mahdi Zaman, Abdul Jawad, Alberto Santamaría-Pang, Ho Hin Lee, Ivan Tarapov, Kyle B. See, Md Shah Imran, Antika Roy, Yaser Pourmohammadi Fallah, Navid Asadizanjani, Reza Forghani

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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

A Comprehensive Survey of Foundation Models in Medicine.

Wasif Khan, Seowung Leem, Kyle B. See, Joshua K. Wong, Shaoting Zhang, Ruogu Fang

CoRR, 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

2021

Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations.

Kyle B. See, David J. Arpin, David E. Vaillancourt, Ruogu Fang, Stephen A. Coombes

NeuroImage, 2021