Carola‐Bibiane Schönlieb

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Michael Roberts, Derek Driggs, Matthew Thorpe et al. · Research Explorer (The University of Manchester) · 2020 · 937 citations · Full text

Medicine, Health Informatics, Radiology +17

Solving inverse problems using data-driven models

Simon Arridge, Ozan Öktem, Carola‐Bibiane Schönlieb · Acta Numerica · 2019 · 671 citations · Full text

Natural Sciences, Computational Engineering, Mathematics +16

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

Michael Yeung, Evis Sala, Carola‐Bibiane Schönlieb et al. · Computerized Medical Imaging and Graphics · 2021 · 652 citations · Full text

Computing, Biomedical Engineering, Computer Science +17

Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification

Ping Zhong, Zhiqiang Gong, Shutao Li et al. · IEEE Transactions on Geoscience and Remote Sensing · 2017 · 356 citations

Computing, Computer Science, Computer Vision +16

A Combined First and Second Order Variational Approach for Image Reconstruction

Kostas Papafitsoros, Carola‐Bibiane Schönlieb · Journal of Mathematical Imaging and Vision · 2013 · 289 citations · Full text

Engineering, Radiology, Computer Vision +10