Monthly Seminars
A regular seminar series began in February 2018, and includes 1) seminars describing technical developments in ML with potential biomedical applications, 2) seminars by local or external Radiology researchers, describing problems that may benefit from ML approaches and ongoing projects involving ML techniques, and 3) seminars by biomedical researchers (not in Radiology), describing pioneering experiences applying ML in their fields of study. The seminar location will alternate between ECB/WID and SMPH/WIMR. These seminars will also provide an opportunity for UW researchers to become familiar with researchers “on the other side of campus.” Recordings of past seminars are available on our MediaSpace Channel (UW NetID required).
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2024 Seminars
Month | Speaker | Date/Time | Location | Title |
---|---|---|---|---|
Jan | Lili He, PhD (University of Cincinnati, Department of Radiology) | 1/17, 10:00am CT | Webinar | From Vast to Limited: Small Data’s Big Role in Medical Imaging AI |
Feb | Jakob Nikolas Kather, MD, MSc (Technische Universität Dresden, Germany, EKFZ for Digital Health) | 2/12, 10:00am CT | Webinar | AI in Precision Oncology |
Mar | Juan Caicedo, PhD (UW-Madison, Morgridge Institute for Research) | 3/19, 10:00am CT | WIMR 2409 & Webinar | Toward Foundation Models of Cellular Morphology |
Apr | Pinaki Sarder, PhD (University of Florida, Intelligent Critical Care Center) | 4/10 10:00am CT | Webinar | Segmentation of Kidney Structures |
May | No Seminar Scheduled | – | – | – |
Jun | Berkin Bilgic, PhD (Massachusetts General Hospital and Harvard Medical School) | 6/17 10:00am CT | Webinar | High-definition MRI: tailored encoding and reconstruction across scales and field strengths |
Jul | No Seminar Scheduled | – | – | – |
Aug | Ge Wang, PhD (Rensselaer Polytechnic Institute) | 8/19 10:00am CT | Webinar | AI in Medicine: Some New Results and Next Steps to the Future |
Sep | Tyler Bradshaw, PhD (UW-Madison, Department of Radiology) | 9/16 10:00am CT | WIMR 2409 and Webinar | Vision, Language, and Vision-Language Modeling in Radiology |
Oct | Anoop Mayampurath, PhD (UW-Madison, Biostatistics and Medical Informatics) | 10/14 10:00am CT | WIMR 2409 and Webinar | Using Electronic Health Record Data to Predict Deterioration in Hospitalized Children |
Nov | Dufan Wu, PhD (Massachusetts General Hospital and Harvard Medical School) | 11/12 11:00am CT | Webinar | Diffusion Bridge Models for CT Image Restoration and Reconstruction |
Dec | Stephanie Harmon, PhD (National Institutes of Health) | 12/10 10:00am CT | Webinar | – |
2023 Seminars
Month | Speaker | Date/Time | Location | Title |
---|---|---|---|---|
Jan | Julia Schnabel, PhD (Technical University of Munich King’s College London) | 1/18, 10:00am CT | Webinar | AI-Enabled Medical Imaging |
Feb | Ulas Bagci, PhD (Northwestern University) | 2/15, 10:00am CT | Webinar | Trustworthy AI for Imaging-based Diagnoses |
Mar | Islem Rekik, PhD (Imperial College London) | 3/20, 10:00am CT | Webinar | Predictive Graph Neural Networks for Brain Mapping from Limited Data |
Apr | Michael Hansen, PhD (Microsoft Research) | 4/12, 1:00pm CT | Webinar | The Connected Imaging Instrument |
May | No Seminar Scheduled | – | – | – |
Jun | No Seminar Scheduled | – | – | – |
Jul | Pedro Morgado, PhD (UW-Madison, Electrical and Computer Engineering) | 7/12, 10:00am CT | WIMR 2409 & Webinar | Unifying Audio-Visual Machine Perception – Tasks & Architectures |
Aug | Prateek Prasanna, PhD (Stony Brook University) | 8/29, 10:00am CT | Webinar | Medical Vision With Imperfect Data |
Sep | Kangwook Lee, PhD (UW-Madison, Electrical and Computer Engineering) | 9/11, 10:00am CT | WIMR 1022 & Webinar | Exploring Generative AI: An Introduction to Large Language Models and Diffusion Models |
Oct | Fei Wang, PhD (Weill Cornell Medicine) | 10/23, 10:00am CT | Webinar | Translational AI in Clinical Medicine |
Nov | Mirabela Rusu, PhD (Stanford Medicine) | 11/13, 11:00am CT | Webinar | Multimodal Artificial intelligence Methods to Improve the Interpretation of Radiology Images |
Dec | Ramya Korlakai Vinayak, PhD (UW-Madison, Electrical and Computer Engineering) | 12/4, 10:00am CT | WIMR 2409 and Webinar | Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control |
2022 Seminars
Month | Speaker | Date/Time | Location | Title |
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2021 Seminars
Month | Speaker | Date/Time | Location | Title |
---|---|---|---|---|
Mar | Shengli (Bruce) Jiang, PhD (UW Chemical and Biological Engineering) | 3/3, 2:00pm | Webinar | Blending Expert and Machine Learning Using Quantitative Chest CT and Clinical Biomarkers to Predict Asthma Severity and Outcomes |
Mar | Tim Leiner, MD, PhD, Tenured Professor of Radiology, Chair of Cardiovascular Imaging, Utrecht University Medical Center, Utrecht, The Netherlands |
3/31, 12:00pm | Webinar | Bringing Machine Learning to the Clinic: Challenges and Opportunities |
Apr | Corey W. Arnold, PhD, Associate Professor Depts. of Radiology, Pathology, Electrical & Computer Engineering, Bioengineering, and Bioinformatics, Director, Computational Diagnostics Lab David Geffen School of Medicine, UCLA, Los Angeles, CA | 4/2, 12:00pm | Webinar | Computational Disease Phenotyping Using Machine Learning |
Apr | Shuo Li, PhD, Director, the Digital Imaging Group of London, Associate Professor, the University of Western Ontario and Scientist, Lawson Health Research Institute, London, Ontario, Canada | 4/7, 12:00pm | Webinar | Unlocking the Full Potential of Medical Imaging by Innovative Machine Learning |
May | Meghan Lubner, MD (UW Dept of Radiology) & Dane Morgan, PhD (UW Materials Science and Engineering) | 5/24, 2:00pm | Webinar | Radiomics and Machine learning in identification of aggressive tumor features in Renal Cell Carcinoma (RCC) |
2020 Seminars
Month | Speaker | Date/Time | Location | Title |
---|---|---|---|---|
Jan |
Jong Chul Ye, PhD (KAIST Bio and Brain Engineering) |
1/13, 4:00pm | HSLC 1345 |
Understanding Geometry of Deep Learning for Medical Image Reconstruction |
July | Raúl San José Estépar, PhD (Harvard Radiology) | 7/8, 2:00pm | Web conference | |
Sept | Kevin Johnson, PhD (UW Med Physics) | 9/9, 2:00pm | Web conference |
Fusion of computational fluid dynamic flow data into 4D flow MRI using machine learning |
2019 Seminars
Month | Speaker | Date/Time | Location | Title |
---|---|---|---|---|
Jan 2019 | No Seminar Scheduled | – | – | – |
Feb | James Gee, PhD (U. Penn Radiology) | 2/28, 4pm | SMPH/HSLC Rm 1345 |
Subspecialty-Level Differential Diagnoses by Machine on Clinical Brain MRI |
Mar | Michael Lustig, PhD (Berkeley Electrical Engineering and Computer Science) | 3/28, 1pm | Computer Science (CS) 1240 | Low-Dimensional Models in High-Dimensional MRI |
Apr | Guillermo Sapiro, PhD, MSc (Duke Electrical and Computer Engineering) | 4/24, 4pm |
F2/401 Juhl Conference Room, UW Clinical Science Center |
Computer Vision and Data Science Transforming (Develop)Mental Health and Deep Brain Stimulation |
Oct | Sebastian Raschka, PhD (UW Statistics) | 10/18, 4pm |
1345 HSLC |
Convolutional Neural Networks for Predicting and Hiding Personal Traits from Face Images |
Nov | Maciej Mazurowski, PhD (Duke Radiology) | 11/15, 4pm |
1345 HSLC |
Machine Learning in Radiology |
2018 Seminars
Month | Speaker | Date/Time | Location | Title |
---|---|---|---|---|
Feb 2018 | Rob Nowak, PhD (UW ECE) | 2/15, 4 pm | SMPH/HSLC Rm 1325 | Machine Learning for Medical Imaging |
Mar | Fang Liu, PhD (UW) | 3/23, 4 pm | ME1106 | Deep Learning: Recent Applications in Medical Imaging |
Apr | Tom Grist, MD (UW) | 4/27, 4 pm | ME1106 | Artificial Intelligence in Medical Imaging: Perspective from the International Society for Strategic Studies in Radiology |
May | Joseph Cheng, PhD (Stanford) | 5/24, 4 pm | SMPH/HSLC Rm 1325 | (Re)learning MRI Reconstruction |
June | Amod Jog, PhD (Martinos Center for Biomedical Imaging) | 6/8, 4 pm | SMPH/HSLC Rm 1325 | Pulse Sequence Resilient Fast Brain Segmentation |
Aug | Vikas Singh (UW) | 8/03, 4 pm | SMPH/HSLC Rm 1325 | Visual Relations, Relative Attributes and Graph Neural Networks |
Aug | Curtis Langlotz (Stanford – Radiology) | 8/10, 9-10:30 am | SMPH/HSLC Rm 1325 | Developing a Center of Excellence for Machine Learning Research in Medical Imaging |
Sept | Jayashree Kalpathy-Cramer (Martinos Center for Biomedical Imaging) | 9/27, 4-5pm | SMPH/HSLC Rm 1345 |
Deep Learning in Medical Imaging-Opportunities and Challenges |
Oct | Polina Golland (MIT Electrical Engineering and Computer Science) | 10/25, 4 pm | CS 1240 | Medical Image Imputation |
Nov | Jerry Prince, PhD (Johns Hopkins University, Electrical and Computer Engineering) | 11/15, 4 pm | SMPH/HSLC Rm 1345 | Single Image Super-Resolution for 2D and 3D MRI |
Dec | Juan Santos from HeartVista | 12/14, 4 pm | SMPH/HSLC Rm 1345 |
Summer Bootcamps
ML4MI hosts bootcamps with the goal of giving participants a rapid, hands-on introduction into the principles and application of machine learning for medical imaging. This bootcamp is supported by the Grainger Institute of Engineering and the Departments of Radiology and Medical Physics. These bootcamps cover the basics of machine learning and applications for image segmentation, classification, and reconstruction. Please sign up for updates for information on future bootcamps! The source material is also available for self study.
Bootcamp Source Materials:
Bootcamp Organizer Contacts:
- Kevin M. Johnson ( kmjohnson3@wisc.edu)
- Alan McMillan ( AMcmillan@uwhealth.org )
- Tyler Bradshaw ( tbradshaw@wisc.edu )
Workshops
October 5, 2018 Workshop
This workshop was held on October 5, 2018 at the UW Fluno Center. The one-day workshop featured keynote talks by leaders in the fields of ML and Radiology, a seminar on bioethics, a panel of radiologists, and poster presentations by junior researchers.