Date Speaker Title Sponsor Time Location
2/14/23 Dr. Radka Stoyanova, Professor and Director of Iamging and Biomarkers Research, Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, University of Miami Radiogenomic Characterization of mpMRI Habitats for Effective Management of Prostate Cancer Dr. Aurelie Garant 12 p.m. EC3.130
1/31/23 Dr. Ghulam Rasool, Assistant Professor, Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida Towards Building Trustworthy Machine Learning Models Dr. Steve Jiang 12 p.m. Zoom
1/10/23 Dr. Tianbao Yang, Associate Professor, Department of Computer Science and Engineering, Texas A&M University LibAUC: A Deep Learning Library for X-risk Optimization Dr. Steve Jiang 12 p.m. EC3.130
12/14/22 Dr. Eleanor Lederer, Professor, Internal Medicine, UT Southwestern Medical Center Systems Biology Approach to CKD-MBD Combining Mathematical Model with Artificial Intelligence Dr. Steve Jiang 12 p.m. EC3.130
12/8/22 Dr. John Kang, Assistant Professor, Department of Radiation Oncology, University of Washington Tapping into Text: An Underutilized Resource in Radiation Oncology Dr. Daniel Yang 3 p.m. EC3.130
11/4/22 Annie Chan, M.D., Associate Professor, Massachusetts General Hospital, Harvard Medical School The Power of Datarizing Images: Seeing the Invisible, Predicting the Unpredictable Dr. Nina Sanford 12 p.m. EC3.130
10/18/22 Dr. Yunhui Guo, Assistant Professor, Department of Computer Science, UT Dallas Data-Efficient Deep Learning by Learning Across Multiple Domains Dr. Jing Wang 12 p.m. EC3.130
8/16/22 Dr. Herman Shen, Professor and Chair, Department of Mechanical Engineering, The University of North Texas From Jet Engine Health Monitoring to Clinical Digital Twin – A Long Journey Dr. Asal Rahimi 12 p.m. EC3.130
8/2/22 Dr. Yue Cao, FAAPM, Professor, Departments of Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan Quantitative Imaging and ctDNA as Biomarkers for Progression Prediction in Patients with Locally Advance Poor Prognosis HN Cancers Dr. Jie Deng 12 p.m. EC3.130
4/26/22 Dr. Xiaofeng Yang, Associate Professor and Director of Deep Biomedical Imaging Laboratory, Emory University School of Medicine Deep Learning in Image-Guided Radiotherapy Dr. Steve Jiang 12 p.m. EC3.130
3/9/22 Dr. Thomas Schön, Beijer Professor in Artificial Intelligence, Uppsala University Formulating Flexible Probabilistic Models Dr. Steve Jiang 10 a.m. Virtual
9/20/21 Dr. Chul Moon, Assistant Professor, Department of Statistical Science, Southern Methodist University Using Topological Shape Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers  Dr. Steve Jiang 12 p.m. Virtual
8/25/21 Dr. Ibrahim Chamseddine, Postdoctoral Fellow, Harvard Medical School Application of Modeling and Optimization in Pre- and Clinical Cancer Research Dr. Steve Jiang 12 p.m. Virtual
3/5/20 Dr. Mohamed Abazeed, Associate Professor in Medicine at the Feinberg School of Medicine at Northwestern University On Prediction Guidance in Radiotherapy: From Experimental Scaffold to Clinical Implementation  Dr. Steve Jiang 4 p.m. EC3.130
1/16/20 Dr. Nick Ruozzi, Assistant Professor, Computer Science, University of Texas at Dallas Probabilistic Models + Deep Networks for Continuous Modeling  Dr. Steve Jiang 4 p.m.  EC3.130
12/5/19 Dr. Hua Li, Research Associate Professor, Department of Bioengineering, Cancer Center at Illinois, University of Illinois at Urbana-Champaign Advanced Machine-Learning Techniques and Applications in Radiation Therapy  Dr. Xun Jia 4 p.m. EC3.130
10/3/19 Dr. Cui Tao, Professor, UT Health Science Center at Houston Big Biomedical Data Analysis Using Ontology and Semantic Technologies Dr. Steve Jiang 4 p.m. EC3.130
9/12/19 Dr. James Lamb, Assistant Professor, UCLA Radiation Therapy Safety - Automation, AI and Human Factors Dr. Steve Jiang 4 p.m. EC3.130
9/5/19 Dr. Pratik Shah, Principal Investigator and Principal Research Scientist, MIT Media Lab Unorthodox AI and Machine Learning Use Cases and Future of Clinical Medicine Dr. James Brugarolas 4 p.m. EC3.130
8/8/19 Dr. Gilmer Valdes, Assistant Professor, Department of Radiation Oncology, University of California, San Francisco Expert Augmented Machine Learning Dr. Steve Jiang 4 p.m. EC3.130
8/1/19 Dr. Sanjay Aneja, Assistant Professor, Yale School of Medicine  Applications of Deep Learning within Clinical Radiation Oncology Dr. Steve Jiang 4 p.m. EC3.130
6/27/19 Dr. Michael Kosorok, W.R. Kenan Jr. Distinguished Professor and Chair, University of North Carolina Chapel Hill Recent Developments in Machine Learning and Precision Medicine Dr. Steve Jiang 4 p.m. EC3.130
6/13/19 Dr. Nathalie Japkowicz, Professor and Department Chair, American University Class Imbalance and Novelty Detection in Defense and Security Dr. Steve Jiang 4 p.m. EC3.130
5/9/19 Dr. Vibhav Gogate, Associate Professor, UT Dallas Explainable, Interpretable Machine Learning Using Cutset Networks Dr. Steve Jiang 4 p.m. EC3.130
4/25/19 Dr. Latifur Khan, Professor, UT Dallas Big Data Stream Analytics and its Applications Dr. Steve Jiang 4 p.m. EC3.130
3/7/19 Dr. Eric Larson, Assistant Professor, Southern Methodist University Machine Learning for Smartphone-based Health Sensing Dr. Steve Jiang 4 p.m. NC8.212
2/21/19 Dr. Chuck Mayo, Associate Professor, Michigan Medicine Opening AI Vitas in Radiation Oncology with Big Data Analytics Resource Systems Dr. Amir Owrangi 4 p.m.  EC3.130
2/7/19 Dr. Brandi Cantarel, Assistant Professor, UT Southwestern Precision Medicine in Cancer Treatment Bioinformatics 4 p.m. NL6.125
1/31/19 Dr. Corey Clark, Deputy Director of Research of SMU Guildhall and Assistant Professor, Southern Methodist University Capturing the Intrinsic Power of Video Games Dr. Steve Jiang 4 p.m. EC3.130
12/20/18 Dr. Bin Dong, Associate Professor, Peking University Bridging Deep Neural Networks and Differential Equations for Image Restoration and Beyond Dr. Steve Jiang 4 p.m. EC3.130
12/10/18 Dr. Sila Çetinkaya, Professor and Department Chair, and Harsha Gangammanavar, Assistant Professor, Southern Methodist University MAIA Faculty Meeting Presentation Dr. Steve Jiang 4 p.m. BL11.202A
12/6/18 Dr. Hien Nguyen, Assistant Professor, University of Houston Deep Learning and Reinforcement Learning for Medical Imaging Dr. Steve Jiang 4 p.m. NC8.212
10/18/18 Dr. Manfred Huber, Professor, and Dr. Kathryn Daniel, Associate Professor, The University of Texas at Arlington Smartcare & Robotics Dr. Xun Jia 4 p.m. EC3.130
10/4/18 Dr. Zhangyang (Atlas) Wang, Assistant Professor, Texas A&M University A Tour of Our Recent Works in Computer Vision, Machine Learning and Their Applications Dr. Steve Jiang 4 p.m. EC3.130
8/16/18 Dr. Ross Berbeco, Associate Professor and MPR Director, Harvard Medical School Next Generation MV Imaging Dr. Xun Jia 4 p.m. EC3.130
6/22/18 Dr. Shuo Li, Associate Professor, University of Western Ontario Innovative Machine Learning for Medical Data Analysis  Dr. Steve Jiang 9 a.m. NG3.112
6/7/18 Dr. Ying Xiao, Professor, University of Pennsylvania Imaging and Radiotherapy Quality Assurance for NCI Clinical Trial Network  Dr. Steve Jiang  9 a.m.          NC8.212
6/6/18 Dr. Andre Dekker, Professor, Maastricht University (MAASTRO) Big Data for Better Cancer Care  Dr. Steve Jiang 9 a.m. D1.700
6/1/18 Dr. Jerome Liang, Professor, Stony Brook School of Medicine Medical Imaging Informatics Dr. Jing Wang  9 a.m.  EC3.130
4/19/18 Dr. Haim Schweitzer, Associate Professor, UT Dallas Algorithms for Selecting Important Features from Data Dr. Steve Jiang 3 p.m. EC3.130
4/13/18 Dr. Michael Hahsler, Assistant Professor, SMU & UTSW Electronic Health Record Analytics: The Case of Optimal Diabetes Screening Dr. Steve Jiang 9 a.m. EC3.130
3/9/18 Dr. Mia K. Markey, Professor and Engineering Foundation Endowed Faculty Fellow; Director, Biomedical Informatics Lab, UT Austin Breast Decisions: 3D Modeling-Based Decision Support for Optimizing Quality of Life Following Breast Reconstruction Dr. Steve Jiang 9 a.m. EC3.130
2/9/18 Dr. Pingkun Yan, Assistant Professor, Rensselaer Polytechnic Institute (RPI) Deep Medical Image Reconstruction and Analysis Dr. Jing Wang 9 a.m. EC3.130 
1/12/18  Dr. Issam El Naqa, Associate Professor, University of Michigan The Role of Deep Machine Learning in Radiotherapy Dr. Steve Jiang 9 a.m. EC3.130
12/22/17 Dr. Ge Wang, Clark Crossan Endowed Chair and Director of Biomedical Imaging Cluster, Rensselaer Polytechnic Institute (RPI) Deep Learning and Beyond Dr. Steve Jiang 1:30 p.m. EC3.130
10/27/17 Dr. Xiaofeng Yang, Assistant Professor, Emory University Image-Guided Radiotherapy with Machine Learning Dr. Steve Jiang 4 p.m. EC3.130
9/22/17 Dr. Jim Ji, Associate Professor, Texas A&M Commerce University Noise-Tolerant Deep Learning Methods for Histological Image Analysis Dr. Steve Jiang 2:30 p.m. EC3.130
8/11/17 Dr. Bin Dong, Associate Professor, Peking University Deep Revolution in Image Restoration and Beyond Dr. Steve Jiang 3:30 p.m. EC3.130