Two papers presented at MICCAI 2024 in Vancouver

Our group presented two papers at this year’s MICCAI in Vancouver.

Susu Sun was presenting her work on short-cut learning in medical image classifiers at the main conference. See Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?.

Paul Fischer was presenting his work on fast estimation of uncertainties in MR reconstruction and uncertainty propagation to downstream tasks such as anatomical segmentation at the MICCAI UNSURE workshop. See Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction.

Machine Learning in Medical Image Analysis
Machine Learning in Medical Image Analysis
Bridging the gap between AI and clinical practice