Visiting Lecturers
| Date | Speaker | Title | Sponsor |
|---|---|---|---|
| 4/1/24 | Joseph Dugas, Ph.D., Willis Knighton Cancer Center | Two sides of a medical physics story: 1) clinical development nuances in commissioning ExacTrac-guided Brainlab SRS on an Elekta VersaHD platform and 2) professional service engagement with AAPM Regional, AAPM National, and CAMPEP | Dr. Paul Medin |
| 10/27/23 | Rafe McBeth, Ph.D., University of Pennsylvania Perelman School of Medicine | Operationalizing AI: navigating the last mile of full clinical integration of AI | Dr. Paul Medin |
| 6/20/23 | Bradley Erickson, M.D., Ph.D, Professor, Mayo Clinic Comprehensive Cancer Center Radiology | Promises and pitfalls applying deep learning in medical imaging | Dr. Mike Dohopolski |
| 5/24/23 | Ruijiang Li, Ph.D., Stanford University | Artificial intelligence and medical imaging for personalized cancer treatment | Dr. Steve Jiang |
| 5/9/23 | Ben Kann, M.D., Assistant Professor, Dana-Farber Cancer Institute, Department of Radiation Oncology | Strategies and approaches for clinic-ready, deep learning tools for cancer imaging | Dr. Mike Dohopolski |
| 4/25/23 | Hao Gao, Ph.D., Associate Professor, University of Kansas Medical Center | Radiogenomic characterization of mpMRI habitats for effective management of prostate cancer | Dr. Steve Jiang |
| 3/21/23 | Anyi Li, Ph.D., Memorial Sloan Kettering Cancer Center | ChatGPT(s) for health care: are we ready? Or are they ready? | Dr. Dillon Li |
| 2/14/23 | Radka Stoyanova, Ph.D., Research Professor, University of Miami | Radiogenomic characterization of mpMRI habitats for effective management of prostate cancer | Dr. Aurelie Garant |
| 2/6/23 | James Robar, Ph.D., Professor, Dalhousie University, Department of Radiation Oncology |
Dr. David Chiu |
|
| 1/31/23 | Ghulam Rasool, Ph.D., Assistant Professor, Moffitt Cancer Center, Department of Machine Learning | Toward building trustworthy machine learning models | Dr. Steve Jiang |
| 1/10/22 | Tianbao Yang, Ph.D., Associate Professor, Texas A&M University, Department of Computer Science & Engineering | LibAUC: A deep learning library risk for X-risk optimization | Dr. Steve Jiang |
| 12/13/22 | Eleanor Lederer, MD, Professor, UT Southwestern, Department of Internal Medicine - Nephrology | Systems biology approach to CKD-MBD combining mathematical model with artificial intelligence | Dr. Steve Jiang |
| 12/8/22 | John Kang, M.D., Ph.D., Assistant Professor, University of Washington Medical Center Montlake, Department of Radiation Oncology | Tapping into text: an underutilized resource in radiation oncology | Dr. Daniel Yang |
| 11/21/22 | Elizabeth Kidd, M.D., and Thomas Niedermayr, Ph.D., Stanford University | Dr. Kevin Albuquerque | |
| 11/4/22 | Annie Chan, MD, Associate Professor, Harvard Medical School, Massachusetts General Hospital, Department of Radiation Oncology | The power of datarizing images: seeing the invisible, predicting the unpredictable | Dr. Nina Sanford |
| 10/18/22 | Yunhui Guo, Ph.D., Assistant Professor, UT Dallas, Department of Computer Science | Data efficient deep learning by learning across multiple domains | Dr. Jing Wang |
| 8/16/22 | Herman Shen, Professor & Chair, UNT, College of Engineering | From jet engine health monitoring to clinical digital twin - a long journey | Dr. Asal Rahimi |
| 8/12/22 | Zhen Tian Ph.D., University of Chicago | Experiences and lessons learned from the development of three R01 research proposals | Dr. Paul Medin |
| 8/2/22 | Yue Cao, Ph.D., Professor, University of Michigan, Department of Radiation Oncology, Radiology, BME | Quantitative imaging and ctDNA as biomarkers for progression prediction in patients with locally advanced poor prognosis HN cancers | Dr. Jie Deng |
| 7/19/22 | Ruijiang Li, Ph.D., Associate Professor, Stanford University, Department of Radiation Oncology | Artificial intelligence and imaging for personalized cancer treatment | Dr. Steve Jiang |
| 6/6/22 | Laura Cervino, Ph.D., Deputy Director, Memorial Sloan Kettering Cancer Center, Radiotherapy Physics Division | IGRT program at Memorial Sloan Kettering Cancer Center | Dr. Mu-Han Lin |
| 5/20/22 | Guillem Pratx, Ph.D., Associate Profesor, Stanford University, Radiation Oncology and Medical Physics | New research directions for radiation oncology | Dr. Steve Jiang |
| 4/26/22 | Xiaofeng Yang, Ph.D., Associate Professor, Emory University, Department of Radiation Oncology | Deep learning in image-guided radiotherapy | Dr. Steve Jiang |
| 1/24/22 | Neelam Tyagi, Ph.D., Associate Attending Physicist, Memorial Hospital for Cancer and Allied Diseases, Department of Medical Physics | MR-guided radiotherapy program at MSKCC | Dr. Paul Medin |
| 12/13/21 | Jack Hoopes, DVM, Ph.D., Professor, Dartmouth-Hitchcock Medical Center, Radiation Oncology and Biomedical Engineering | Translational flash radiotherapy | Dr. Ken Wang |
| 4/9/21 | Dr. Todd Atwood, Associate Professor and Senior Associate Division Director, Transformational Clinical Physics, UC San Diego | Expanding the scope of the medical physics profession | Dr. Tsuicheng David Chiu |
| 3/8/21 | Dr. Zhaoyang Fan, Associate Professor, Departments of Radiology, Radiation Oncology, University of Southern California (USC) | MR technical development in abdominal radiation therapy | Dr. Xun Jia |
| 3/9/20 | Dr. Dajiang Zhu, Assistant Professor, Department of Computer Science and Engineering, The University of Texas at Arlington | Computational modeling and machine learning in brain imaging | Dr. Steve Jiang |
| 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 |
| 2/24/20 | Dr. Jiang Du, Professor, Department of Radiation Oncology, The University of California San Diego | Ultra-short echo time magnetic resonance imaging: technical development and clinical applications | Dr. Steve Jiang |
| 2/10/20 | Dr. Lei Ren, Associate Professor, Department of Radiation Oncology, Duke University | Fast low-dose intelligent imaging for image-guided radiation therapy (IGRT) | Dr. Steve Jiang |
| 1/27/20 | Dr. Wei Chen, Professor, Department of Physics; Director, The Center for Security Advances Via Applied Nanotechnology | Exploration of nanoparticle sensitizers to enable radiotherapy and oxidative therapy for deep cancer treatment | Dr. Steve Jiang |
| 1/16/20 | Dr. Nick Ruozzi, Assistant Professor, Computer Science, University of Texas at Dallas | Probabilistic models + feep networks for continuous modeling | Dr. Steve Jiang |
| 12/16/19 | Dr. You Zhang, Assistant Professor | Optimization in the treatment planning system | Dr. Steve Jiang |
| 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 |
| 10/7/19 | Dr. Jan Schuemann, Associate Professor, Department of Radiation Oncology at Harvard Medical School | Modeling biological effects using Monte Carlo simulations | Dr. Steve Jiang |
| 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 |
| 10/1/19 | Dr. Ken Wang, Assistant Professor, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine | Quantitative optical tomography for pre-clinical radiation research | Dr. Steve Jiang |
| 9/12/19 | Dr. James Lamb, Assistant Professor, UCLA | Radiation therapy safety - automation, AI and human factors | Dr. Steve Jiang |
| 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 |
| 8/26/19 | Dr. James Robar, FCCPM, Chief, Department of Medical Physics | Novel approaches to targeting tumors with radiation therapy... using diamonds, gold and copper | Dr. Steve Jiang |
| 8/8/19 | Dr. Gilmer Valdes, Assistant Professor, Department of Radiation Oncology, University of California, San Francisco | Expert augmented machine learning | Dr. Steve Jiang |
| 8/6/19 | Dr. Wonmo Sung, Research Fellow, Massachusetts General Hospital | A tumor-immune interaction model for hepatocellular carcinoma based on measured lymphocyte counts of patients undergoing radiotherapy | Dr. Steve Jiang |
| 8/1/19 | Dr. Sanjay Aneja, Assistant Professor, Yale School of Medicine | Applications of deep learning within clinical radiation oncology | Dr. Steve Jiang |
| 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 |
| 6/13/19 | Dr. Nathalie Japkowicz, Professor and Department Chair, American University | Class imbalance and novelty detection in defense and security | Dr. Steve Jiang |
| 5/9/19 | Dr. Vibhav Gogate, Associate Professor, UT Dallas | Explainable, interpretable machine learning using cutset networks | Dr. Steve Jiang |
| 4/25/19 | Dr. Latifur Khan, Professor, UT Dallas | Big data stream analytics and its applications | Dr. Steve Jiang |
| 3/7/19 | Dr. Eric Larson, Assistant Professor, Southern Methodist University | Machine learning for smartphone-based health sensing | Dr. Steve Jiang |
| 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 |
| 2/7/19 | Dr. Brandi Cantarel, Assistant Professor, UT Southwestern | Precision medicine in cancer treatment | Bioinformatics |
| 1/31/19 | Dr. Corey Clark, Deputy Director of Research of SMU Guildhall and Assistant Professor, Southern Methodist University | Capturing the intristic power of video games | Dr. Steve Jiang |
| 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 |
| 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 |
| 12/6/18 | Dr. Hien Nguyen, Assistant Professor, University of Houston | Deep learning and reinforcement learning for medical imaging | Dr. Steve Jiang |
| 10/18/18 | Dr. Manfred Huber, Professor, and Dr. Kathryn Daniel, Associate Professor, The University of Texas at Arlington | Smartcare & robotics | Dr. Xun Jia |
| 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 |
| 8/16/18 | Dr. Ross Berbeco, Associate Professor and MPR Director, Harvard Medical School | Next generation MV imaging | Dr. Xun Jia |
| 6/22/18 | Dr. Shuo Li, Associate Professor, University of Western Ontario | Innovative machine learning for medical data analysis | Dr. Steve Jiang |
| 6/7/18 | Dr. Ying Xiao, Professor, University of Pennsylvania | Imaging and radiotherapy quality assurance for NCI Clinical Trial Network | Dr. Steve Jiang |
| 6/6/18 | Dr. Andre Dekker, Professor, Maastricht University (MAASTRO) | Big data for better cancer care | Dr. Steve Jiang |
| 6/1/18 | Dr. Jerome Liang, Professor, Stony Brook School of Medicine | Medical imaging informatics | Dr. Jing Wang |
| 4/19/18 | Dr. Haim Schweitzer, Professor, UT Dallas | Algorithms for selecting important features from data | Dr. Steve Jiang |
| 4/13/18 | Dr. Michael Hahsler, Assistant Professor, SMU & UTSW | Electronic health record analytics: the case of optimal diabetes screening | Dr. Steve Jiang |
| 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 |
| 2/9/18 | Dr. Pingkun Yan, Assistant Professor, Rensselaer Polytechnic Institute (RPI) | Deep medical image reconstruction and analysis | Dr. Jing Wang |
| 1/12/18 | Dr. Issam El Naqa , Associate Professor, University of Michigan | The role of deep machine learning in radiotherapy | Dr. Steve Jiang |
| 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 |
| 10/27/17 | Dr. Xiaofeng Yang, Assistant Professor, Emory University | Image-guided radiotherapy with machine learning | Dr. Steve Jiang |
| 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 |
| 8/11/17 | Dr. Bin Dong, Associate Professor, Peking University | Deep revolution in image restoration and beyond | Dr. Steve Jiang |