| 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 |
| 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 |