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