Search Results for author: Adrian Dalca

Found 5 papers, 2 papers with code

AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

no code implementations9 Oct 2023 Ruisheng Su, Matthijs van der Sluijs, Sandra Cornelissen, Wim van Zwam, Aad van der Lugt, Wiro Niessen, Danny Ruijters, Theo van Walsum, Adrian Dalca

This hinders the serial evaluation of blood flow, and often causes undesired vasculature and contrast flow alterations, leading to impeded usability in clinical practice.

Magnitude Invariant Parametrizations Improve Hypernetwork Learning

1 code implementation15 Apr 2023 Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca

In this work, we identify a fundamental and previously unidentified problem that contributes to the challenge of training hypernetworks: a magnitude proportionality between the inputs and outputs of the hypernetwork.

Image Generation Multi-Task Learning

Scale-Space Hypernetworks for Efficient Biomedical Imaging

no code implementations11 Apr 2023 Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca

We find that SSHN consistently provides a better accuracy-efficiency trade-off at a fraction of the training cost.

Computational Efficiency Image Segmentation +1

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018

no code implementations17 Nov 2018 Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian Dalca, Sam Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi

This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held on December 8, 2018 in Montreal, Canada.

BIG-bench Machine Learning

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