| 8/15/23 | Dr. Mark van der Laan, Professor of Biostatistics and Statistics, Endowed Chair Jiann-Piang Hsu and Karl E. Peace in Biostatistics, at UC Berkeley | Targeted Learning and Causal Inference for Integrating Real World Evidence into the Drug Approval Process and Safety Analysis | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 7/11/23 | Dr. Xiang "Shaun" Li, Assistant Professor, Department of Radiology at Massachusetts General Hospital, Harvard Medical School | Application and Development of Foundational Models in Healthcare | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 5/24/23 | Dr. Ruijiang Li, Associate Professor, Radiation Oncology at Stanford University School of Medicine | Artificial Intelligence and Imaging for Personalized Cancer Treatment | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 5/11/23 | Dr. Benjamin H. Kann, Assistant Professor of Radiation Oncology, Harvard Medical School, Dana-Farber Cancer Institute, Brigham and Women's Hospital | Strategies and Approaches for Clinic-Ready, Deep Learning Tools for Cancer Imaging | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 4/26/23 | Dr. Hao Gao, Associate Professor and Director of Physics Research in the Department of Radiation Oncology at the University of Kansas Medical Center | Imaging and Treatment Planning Research at KUMC | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 3/21/23 | Dr. Anya Li, Chief of Computer Science and Associate Attending Physicist at Memorial Sloan Kettering Cancer Center | ChatGPT(s) for Healthcare: Are we ready? Or are they ready? | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 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 |