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07/07/2023
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images
Radiotherapists require accurate registration of MR/CT images to effecti...
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05/05/2021
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
Measuring lesion size is an important step to assess tumor growth and mo...
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05/03/2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
Accurately segmenting a variety of clinically significant lesions from w...
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12/04/2020
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
Radiological images such as computed tomography (CT) and X-rays render a...
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01/02/2020
