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07/31/2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
Harnessing the power of pre-training on large-scale datasets like ImageN...
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06/17/2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Although deep learning prediction models have been successful in the dis...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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11/29/2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Vision Transformers (ViT)s have shown great performance in self-supervis...
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07/04/2020
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
To better understand early brain growth patterns in health and disorder,...
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10/09/2019
BIAS: Transparent reporting of biomedical image analysis challenges
The number of biomedical image analysis challenges organized per year is...
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05/25/2018
