| Date | Speaker | Title | Sponsor | Time | Location |
|---|---|---|---|---|---|
| 7/16/2025 | Li Feng, Ph.D., Associate Professor, Director of Rapid Imaging Department of Radiology, New York University Grossman School of Medicine |
Advanced 4D MR/ with Intelligent Acquisition and Reconstruction | Dr. Jie Deng | 12 p.m | EC3.130 |
| 6/25/2025 | Yujin Oh, Ph.D., Postdoctoral Researcher, Massachusetts General Hospital, Harvard Medical School | Multimodal AI in Radiation Oncology: Harnessing Large Language Models for Clinical Workflows | Dr. Chenyang Shen | 12 p.m | Zoom |
| 6/9/2025 | Ergun Ahunbay, Ph.D., Professor, Radiation Oncology, Medical College of Wisconsin | Interactive Large Language Model-Assistant for Flexible Workflow Automation in MR-guided Online Adaptive Radiotherapy | Dr. Ying Zhang | 12 p.m | EC3.130 |
| 6/4/2025 | Vishal Ahuja, Ph.D., M.B.A., Associate Professor, Corrigan Research Professor, Information Technology and Operations Management, Southern Methodist University, Adjunct Faculty, UT Southwestern Medical Center. | Improving decision-making using AI/ML: Application to clinical trials, diabetes screening, and beyond | Dr. Chenyang Shen | 12 p.m | EC3.130 |
| 5/28/2025 | Anyi Li, Ph.D., Chief, Computer Service, Memorial Sloan Kettering Cancer Center | AI in the clinical workflow | Dr. Chenyang Shen | 12 p.m | EC3.130 |
| 5/21/2025 | Danielle S. Bitterman, M.D., Assistant Professor of Radiation Oncology, Harvard University | Surfacing hidden strengths and risks of large language models | Dr. Michael Dohopolski | 12 p.m | EC3.130 |
| 5/14/2025 | Xinya Du, Ph.D., Assistant Professor - Computer Science, University of Texas at Dallas | Towards Autonomous Scientific Discovery with Large Language Models | Dr. Chenyang Shen | 12 p.m | EC3.130 |
| 5/7/2025 | Ghada Zamzmi, Ph.D., U.S. Food and Drug Administration | (How) Can We Trust AI Algorithms Post-Market? | Dr. Chenyang Shen | 12 p.m | Zoom |
| 4/16/2025 | Paulo Kuriki, M.D., Assistant Professor, UT Southwestern Medical Center | Radiology Meets NLP: The Rise of Smarter Language Models | Dr. Chenyang Shen | 12 p.m | EC3.130 |
| 3/26/2025 | Chang-Shiun Lin, Ph.D., Fellow, UT Southwestern Medical Center | From Concept to Practice: The Journey of Online Adaptive Radiotherapy | Dr. Bin Cai | 12 p.m | EC3.130 |
| 2/12/2025 | Jaewon Yang, Ph.D., Assistant Professor, Department of Radiology, UT Southwestern Medical Center | Deep Learning (DL) Applications for Quantitative and Qualitative PET and SPECT | Dr. Chenyang Shen | 12 p.m | EC3.130 |
| 2/5/2025 | Svitlana Volkova, Chief of AI, Office of Science & Technology, Aptima | Developing and Evaluating Compound AI Systems with Multi-Agent Workflows: From Scientific Knowledge Discovery to Operational Resilience | Dr. Dan Nguyen | 12 p.m | EC3.130 |
| 1/24/2025 | Minsun Kim, Ph.D., Professor, Clinical Physics Lead of University of Washington Medical Center - Montlake | Modeling and Theoretical Frameworks for Response-Guided Adaptive Radiotherapy | Dr. Steve Jiang | 12 p.m | EC3.130 |
| 1/22/2025 | Thanh Thieu, Ph.D., Moffitt Cancer Center and Research Institute | A Quest for Automatic Abstraction of Key Tumor Phenotypes from Real-World Pathology Reports | Dr. Dan Nguyen | 12 p.m | Zoom |
| 12/17/2024 | Andrew A. Borkowski, M.D., Professor of Pathology, Medicine, and Surgery, University of South Florida Morsani College of Medicine | Multi-Agent AI Systems in Healthcare | Dr. Michael Dohopolski | 12 p.m | Zoom |
| 12/11/2024 | Shuo Wang, Ph.D., M.Sc., DABR, Associate Professor, Department of Radiation Oncology, University of Nebraska Medical Center | Leveraging Dosiomics in Predicting Lung SBRT Treatment Failure | Dr. Steve Jiang | 12 p.m | EC3.130 |
| 11/18/2024 | Jufri Setianegara, Ph.D., DABR, Assistant Professor of Radiation Oncology, Medical Physics, University of Pennsylvania | Proton SFRT and FLASH on IBA Proteus ONE | Dr. Steve Jiang | 12 p.m | EC3.130 |
| 10/30/2024 | Milo Lin, Ph.D., Associate Professor, Cecil H. and Ida Green Endowed Scholar in Biomedical Computation, Green Center for Systems Biology; Lyda Hill Department of Bioinformatics; Department of Biophysics; Center for Alzheimer’s and Neurodegenerative Diseases; O’Donnell Brain Institute, UT Southwestern Medical Center | Distilling rules from data using Essence Neural Networks | Dr. Chenyang Shen | 12 p.m | EC3.130 |
| 10/23/2024 | Yapeng Tian, Ph.D., Assistant Professor, Departments of Computer Science, The University of Texas at Dallas | Enhancing Image Quality with deep Learning-Based Super-Resolution: From Natural Scenes to Medical Imaging | Dr. Jing Wang | 12 p.m | Zoom |
| 10/18/2024 | Kai Wang, Ph.D., Medical Physics Resident, University of Maryland Medical Center | Advancing Reliable Cancer Radiotherapy Outcome Prediction via Multi-Modal Multi-task AI | Dr. Steve Jiang | 12 p.m | Zoom |
| 10/17/2024 | Zi Yang, Ph.D., Medical Physics Resident, Stanford University | Enhancing Radiation Thrapy with Deep Learning: Clinical and Pre-Clinical Applications | Dr. Steve Jiang | 12 p.m | Zoom |
| 10/9/2025 | Leigh Conroy, Ph. D., Clinical Medical Physicist, Radiation Therapy Physics Department, Radiation Medicine Program, Princess Margaret Cancer Centre | Research to Reality: Operationalizing AI in Radiation Oncology Workflows | Dr. Chenyang Shen | 12 p.m | Zoom |
| 9/9/2024 | Amit Sawant, Ph.D., Vice Chair of Medical Physics, University of Maryland School of Medicine | What you learned in high school can help you improve lung radiation therapy - Revisiting motion management and functional lung sparing | Dr. Pual Medin | 12 p.m | EC3.130 |
| 9/4/2024 | Jun Deng, Ph.D., DABR, FInstP, FAAPM, FASTRO, Director of Physics Research, Therapeutic Radiology, Yale University | Enabling Digistal Twins for Predictive Oncology: A Medical Physicist's Perspective | Dr. Ying Zhang | 12 p.m. | EC3.130 |
| 8/7/2024 | Xue Feng, Ph.D., Co-Founder & CEO of Carina AI and Assistant Professor, Department of Biomedical Engineering, University of Virginia |
Bring AI Innovations from the Lab to the Market – Navigating Through the Regulatory Hurdle | Dr. Jie Deng | 12 p.m. | Zoom |
| 6/12/2024 | Geoffrey Hugo, Ph.D., Professor & Vice Chair of Medical Physics, Department of Radiation Oncology, Washington University School of Medicine in St. Louis |
Developing New Quality Assurance Approaches for AI Systems | Dr. Chenyang Shen | 12 p.m. | Zoom |
| 4/2/2024 | Linwei Wang, Ph.D., Professor, Department of Computing and Information Sciences, Rochester Institute of Technology |
The Risk of One-Size-Fit-All Deep Learning in Personalized Medicine | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 3/27/2024 | Junzhou Huang, Ph.D., FAIMBE, Professor, Department of Computer Science and Engineering, The University of Texas at Arlington |
Learning Graphs and Its Applications | Dr. Chenyang Shen | 12 p.m. | EC3.130 |
| 2/21/2024 | Ravi Parikh, MD, MPP, FACP, Assistant Professor, Perelman School of Medicine |
Artificial Intelligence to Improve Efficiency and Generalizability of Cancer Clinical Trials | Dr. David Sher | 12 p.m. | Zoom |
| 1/17/2024 | Jie Gu, Ph.D., Associate Professor, Department of ECE, Northwestern University |
AI-Powered Intelligent Neural Interface Chips for Biomedical Applications | Dr. Steve Jiang | 12 p.m. | Zoom |
| 11/28/2023 | Michael Gensheimer, MD, Clinical Associate Professor, Department of Radiation Oncology, Stanford University |
Machine Learning for Clinical Decision Support in Oncology | Dr. Michael Dohopolski | 12 p.m. | Zoom |
| 10/31/2023 | Bradley Erickson, MD, Ph.D., Professor & Medical Director for AI, Department of Radiology, Mayo Clinic College of Medicine |
Promises and Pitfalls Applying Deep Learning in Medical Imaging | Dr. Michael Dohopolski | 12 p.m. | Zoom |
| 10/24/2023 | Anastasios Angelopoulos, Ph.D. Student in Electrical Engineering and Computer Science, The University of California, Berkeley |
Conformal Risk Control | Dr. Michael Dohopolski | 12 p.m. | Zoom |
| 10/17/2023 | Chandan Yogananda, Ph.D., Assistant Professor, Department of Radiology, UTSW |
Tackling Dara Scarcity in Brain Tumor Imaging: A Generative AI Augmented Deep Learning Study | Dr. Michael Dohopolski | 12 p.m. | Zoom |
| 8/22/2023 | Ian Maurer, M.S., Chief Technology Officer at GenomOncology |
Grounding Large Language Models with Biomedical Knowledge Graphs | Dr. Steve Jiang | 12 p.m. | Zoom |
| 8/7/2024 | Xue Feng, Ph.D., Co-Founder & CEO of Carina AI and Assistant Professor, Department of Biomedical Engineering, University of Virginia |
Bring AI Innovations from the Lab to the Market – Navigating Through the Regulatory Hurdle | Dr. Jie Deng | 12 p.m. | Virtual |
| 6/12/2024 | Geoffrey Hugo, Ph.D., Professor & Vice Chair of Medical Physics, Department of Radiation Oncology, Washington University School of Medicine in St. Louis |
Developing New Quality Assurance Approaches for AI Systems | Dr. Chenyang Shen | 12 p.m. | Virtual |
| 4/2/2024 | Linwei Wang, Ph.D., Professor, Department of Computing and Information Sciences, Rochester Institute of Technology |
The Risk of One-Size-Fit-All Deep Learning in Personalized Medicine | Dr. Steve Jiang | 12 p.m. | EC3.130 |
| 3/27/2024 | Junzhou Huang, Ph.D., FAIMBE, Professor, Department of Computer Science and Engineering, The University of Texas at Arlington |
Learning Graphs and Its Applications | Dr. Chenyang Shen | 12 p.m. | EC3.130 |
| 2/21/2024 | Ravi Parikh, MD, MPP, FACP, Assistant Professor, Perelman School of Medicine |
Artificial Intelligence to Improve Efficiency and Generalizability of Cancer Clinical Trials | Dr. David Sher | 12 p.m. | Virtual |
| 1/17/2024 | Jie Gu, Ph.D., Associate Professor, Department of ECE, Northwestern University |
AI-Powered Intelligent Neural Interface Chips for Biomedical Applications | Dr. Steve Jiang | 12 p.m. | Virtual |
| 11/28/2023 | Michael Gensheimer, MD, Clinical Associate Professor, Department of Radiation Oncology, Stanford University |
Machine Learning for Clinical Decision Support in Oncology | Dr. Michael Dohopolski | 12 p.m. | Virtual |
| 10/31/2023 | Bradley Erickson, MD, PH.D., Professor & Medical Director for AI, Department of Radiology, Mayo Clinic College of Medicine |
Promises and Pitfalls Applying Deep Learning in Medical Imaging | Dr. Michael Dohopolski | 12 p.m. | Virtual |
| 10/24/2023 | Anastasios Angelopoulos, Ph.D. Student in Electrical Engineering and Computer Science, The University of California, Berkeley |
Conformal Risk Control | Dr. Michael Dohopolski | 12 p.m. | Virtual |
| 10/17/2023 | Chandan Yogananda, Ph.D., Assistant Professor, Department of Radiology, UTSW |
Tackling Dara Scarcity in Brain Tumor Imaging: A Generative AI Augmented Deep Learning Study | Dr. Michael Dohopolski | 12 p.m. | Virtual |
| 8/22/2023 | Ian Maurer, M.S., Chief Technology Officer at GenomOncology |
Grounding Large Language Models with Biomedical Knowledge Graphs | Dr. Steve Jiang | 12 p.m. | Virtual |
| 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 |