Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. - Wenyuan Li 001; Zichen Wang; Jiayun Li; Jennifer Polson; William Speier; Corey W. Arnold (CVPR Workshops, 2019)

A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features. - Haoyue Zhang; Jennifer Polson; Kambiz Nael; Noriko Salamon; Bryan Yoo; William Speier; Corey W. Arnold (BHI, 2021)

A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis. - Jennifer Polson; Haoyue Zhang; Kambiz Nael; Noriko Salamon; Bryan Yoo; Namkug Kim; Dong-Wha Kang; William Speier; Corey W. Arnold (EMBC, 2021)

Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time. - Haoyue Zhang; Jennifer S. Polson; Kambiz Nael; Noriko Salamon; Bryan Yoo; Suzie El-Saden; Fabien Scalzo; William Speier; Corey W. Arnold (Comput. Medical Imaging Graph., 2021)

High resolution histopathology image generation and segmentation through adversarial training. - Wenyuan Li 001; Jiayun Li; Jennifer Polson; Zichen Wang; William Speier; Corey W. Arnold (Medical Image Anal., 2022)

PathAL: An Active Learning Framework for Histopathology Image Analysis. - Wenyuan Li 001; Jiayun Li; Zichen Wang; Jennifer Polson; Anthony E. Sisk; Dipti P. Sajed; William Speier; Corey W. Arnold (IEEE Trans. Medical Imaging, 2022)

Pathology-Based Ischemic Stroke Etiology Classification via Clot Composition Guided Multiple Instance Learning. - Mara Pleasure; Ekaterina Redekop; Jennifer S. Polson; Haoyue Zhang; Naoki Kaneko; William Speier; Corey W. Arnold (ICCV (Workshops), 2023)

Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models. - Haoyue Zhang; Jennifer S. Polson; Eric J. Yang; Kambiz Nael; William Speier; Corey W. Arnold (CoRR, 2023)