https://github.com/adalca/voxeltalk
Boston Learning in Medical Image Analysis seminar
Science Score: 13.0%
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Low similarity (5.9%) to scientific vocabulary
Repository
Boston Learning in Medical Image Analysis seminar
Basic Info
- Host: GitHub
- Owner: adalca
- Default Branch: master
- Size: 155 KB
Statistics
- Stars: 14
- Watchers: 5
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Voxel Talk: a virtual seminar series
(Virtual) Talks on Machine Learning in Medical Image Analysis
The seminar is usually at 1pm EST. Until further notice, it will remain virtual. For details contact Adrian V. Dalca.
| Date | Name | Title | Details |
| ---------- | --- | --- | --- |
| 08-09-2024 | José Dolz | How to improve the uncertainty estimates in deep models? | |
Past talks:
| Date | Name | Title | Details |
| ---------- | --- | --- | --- |
| 04-29-2024 | Paolo Casale | ML-enabled Genetic Analysis of High-Content Phenotypes | |
| 01-22-2024 and 01-23-2024 | Alan Wang | Towards Reliable and Trustworthy Machine Learning Methods for Medical Imaging | |
| 03-14-2022 | Gia Ngo | Synthesis of Brain Maps using Deep Learning | |
| 05-17-2021 11am [different time!] | Ana Namburete | Deep learning in population-level neuroimaging: Technical challenges and clinical opportunities | |
| 05-10-2021 1pm | Neel Dey | Improving Conditional Deformable Template Construction with Generative Adversarial Registration | paper |
| 03-15-2021 1pm | Donglai Wei | Learning to Label Large-scale Datasets for Connectomics | |
| 03-08-2021 1pm | Meenakshi Khosla | Towards holistic neural encoding models for multi-modal naturalistic stimuli | |
| 03-01-2021 1pm | Ryu Tanno | How To Teach Machines When Experts Disagree | |
| 01-25-2021 1pm | Katherine Bouman | Designing the Future of Black Hole Imaging via Learning | |
| 06-18-2020 1pm | Ben Glocker | Uncertainty, causality and generalization: Attempts to improve image-based predictive modelling | recording |
| 05-04-2020 1pm | Christian Baumgartner | Modelling Probability Distributions using Neural Networks and Applications to Medical Images | recording slides |
Owner
- Name: Adrian Dalca
- Login: adalca
- Kind: user
- Location: Cambridge, MA
- Company: MIT
- Website: http://adalca.mit.edu
- Repositories: 24
- Profile: https://github.com/adalca
Professor at Harvard Medical School, Researcher at MIT. Machine Learning in Medical Image Analysis, computer vision.
GitHub Events
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- Average comments per issue: 0
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