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Visiting Lecturers

DateSpeakerTitleSponsor
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 EC3.130 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
8/2/22 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

 

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