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 001; et al. (Comput. Biol. Medicine, 2016)

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 001; Xiaohua Qian (CoRR, 2019)

Multi-Contrast Super-Resolution MRI Through a Progressive Network. - Qing Lyu 003; Hongming Shan; Cole Steber; Corbin Helis; Chris Whitlow; Michael D. Chan; Ge Wang 001 (IEEE Trans. Medical Imaging, 2020)

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. - Qing Lyu 003; 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; et al. (Patterns, 2022)

Motor Unit Action Potential Based Classification of Hand and Arm Motions. - Michael D. Twardowski; Michael D. Chan; Zhi Li 004; Gianluca De Luca; Joshua C. Kline; John P. Chiodini (IROS, 2023)