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Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.

, , , , , , , , , and . ISBI, page 438-441. IEEE, (2020)

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Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging., , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (11): 1687-1696 (2018)Micro and Macro Breast Histology Image Analysis by Partial Network Re-use., , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 895-902. Springer, (2018)Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data., , , , , , , , and . CoRR, (2024)Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection., , , , , , , , and . MLMI@MICCAI (1), volume 15241 of Lecture Notes in Computer Science, page 361-371. Springer, (2024)Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound., , , , , , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 411-420. Springer, (2022)Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy., , , , , , , , , and 2 other author(s). ISBI, page 1-5. IEEE, (2022)ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection., , , , , , , , , and . MICCAI (6), volume 15006 of Lecture Notes in Computer Science, page 499-509. Springer, (2024)Toward confident prostate cancer detection using ultrasound: a multi-center study., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (5): 841-849 (May 2024)Methods for Segmentation and Classification of Digital Microscopy Tissue Images., , , , , , , , , and 4 other author(s). CoRR, (2018)Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization., , , , , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 572-581. Springer, (2020)