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Evis Sala

University of Cambridge
Memorial Sloan Kettering Cancer Center
Cambridge University Hospitals NHS Foundation Trust

305

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8526

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

2022 Comput. Medical Imaging Graph.
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Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation.

2022 ISBI | International Symposium on Biomedical Imaging
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Oncologically Relevant Findings Reporting and Data System (ONCO-RADS): Guidelines for the Acquisition, Interpretation, and Reporting of Whole-Body MRI for Cancer Screening.

2021 Radiology
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Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise.

2021
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Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy.

2021 Computers in Biology and Medicine
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Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

2021 arXiv: Artificial Intelligence
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Serial changes in tumour measurements and apparent diffusion coefficients in prostate cancer patients on active surveillance with and without histopathological progression.

2021 British Journal of Radiology
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A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images.

2021 Nature Biomedical Engineering
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Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance

2021 European Radiology
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A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation.

2021 arXiv: Image and Video Processing
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Citations (7)