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07/31/2023
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training
Models capable of leveraging unlabelled data are crucial in overcoming l...
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03/21/2023
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns
Annotating new datasets for machine learning tasks is tedious, time-cons...
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08/24/2021
An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of Seismic Waves in Poroelastic Media
Many applications from geosciences require simulations of seismic waves ...
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06/21/2021
CataNet: Predicting remaining cataract surgery duration
Cataract surgery is a sight saving surgery that is performed over 10 mil...
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07/16/2019
Fused Detection of Retinal Biomarkers in OCT Volumes
Optical Coherence Tomography (OCT) is the primary imaging modality for d...
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07/10/2019
Deep Multi Label Classification in Affine Subspaces
Multi-label classification (MLC) problems are becoming increasingly popu...
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06/30/2019
Higher-order time-stepping schemes for fluid-structure interaction problems
We consider a recently introduced formulation for fluid-structure intera...
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10/18/2017
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
Detection of surgical instruments plays a key role in ensuring patient s...
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07/16/2017
Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks
The automatic segmentation of retinal layer structures enables clinicall...
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10/12/2016