Michael D. Chan

According to our database, Michael D. Chan authored at least 5 papers between 2016 and 2023.

Collaborative distances:

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

2023

Motor Unit Action Potential Based Classification of Hand and Arm Motions.

Michael D. Twardowski, Michael D. Chan, Zhi Li, Gianluca De Luca, Joshua C. Kline, John P. Chiodini

IROS, 2023

2022

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images.

Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow

Patterns, 2022

2020

Multi-Contrast Super-Resolution MRI Through a Progressive Network.

Qing Lyu, Hongming Shan, Cole Steber, Corbin Helis, Chris Whitlow, Michael D. Chan, Ge Wang

IEEE Trans. Medical Imaging, 2020

2019

DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet.

Meiyu Li, Michael D. Chan, Xiaobo Zhou, Xiaohua Qian

CoRR, 2019

2016

Pseudo progression identification of glioblastoma with dictionary learning.

Jian Zhang, Hengyong Yu, Xiaohua Qian, Keqin Liu, Hua Tan, Tielin Yang, Maode Wang, King Chuen Li, Michael D. Chan, Waldemar Debinski, Anna Paulsson, Ge Wang, Xiaobo Zhou

Comput. Biol. Medicine, 2016