In this issue, vol. 27, issue 1, January 2023, 7 papers are published related to the Special Issue on Advanced Machine Learning Algorithms for Biomedical Data and Imaging (Part II).
A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson’s Disease Gait Dysfunctions—A Deep Learning Approach
Kaur, Rachneet; Motl, Robert W.; Sowers, Richard; Hernandez, Manuel
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
Amirshahi, Alireza; Thomas, Anthony; Aminifar, Amir; Rosing, Tajana; Atienza, David
A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia
Xing, Ying; Kochunov, Peter; van Erp, Theo G. M.; Ma, Tianzhou; Calhoun, Vince; Du, Yuhui
Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging
Mathews, Roshan; Panicker, Mahesh; Rakkunedeth, Abhilash; Tung-Chen, Yale; Jaremko, Jacob; Buchanan, Brian; Vishnu Narayan, Kiran; Kesavadas, Chandrasekharan; Mathews, Greeta
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies
Yao, Heming; Derksen, Harm; Golbus, Jessica; Zhang, Justin; Aaronson, Keith; Gryak, Jonathan; Najarian, Kayvan
Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography
Tong, Tong; Li, Dongyang; Gu, Jionghui; Chen, Guo; Bai, Guotao; Yang, Xin; Wang, Kun; Jiang, Tianan; Tian, Jie
eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients
Boscolo Galazzo, Ilaria; Gandolfi, Marialuisa; Gasparin Pavan, Rudy; Cruciani, Federica; Valè, Nicola; Picelli, Alessandro; Storti, Silvia; Smania, Nicola; Menegaz, Gloria