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Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks.

, , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810O. SPIE, (2018)

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A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast.. MICCAI (2), volume 4191 of Lecture Notes in Computer Science, page 101-108. Springer, (2006)BIAS: Transparent reporting of biomedical image analysis challenges., , , , , , , , , and 4 other author(s). Medical Image Anal., (2020)Learning to segment images with classification labels., and . Medical Image Anal., (2021)Self-supervised driven consistency training for annotation efficient histopathology image analysis., , , and . Medical Image Anal., (2022)Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images., , , , and . MICCAI, volume 1679 of Lecture Notes in Computer Science, page 22-31. Springer, (1999)Transitioning Between Convolutional and Fully Connected Layers in Neural Networks., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 143-150. Springer, (2017)Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy., , , , , , , and . MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 117-127. Springer, (2023)Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network., and . HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 221-229. Springer, (2022)Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology., and . ICCVW, page 562-571. IEEE, (2021)Automatic model-based 3D segmentation of the breast in MRI., and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796215. SPIE, (2011)