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Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field.

, , , , , , , and . ISBI, page 1900-1904. IEEE, (2019)

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Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering., , , and . CoRR, (2018)Multi-Shot Mining Semantic Part Concepts in CNNs., , , and . CoRR, (2016)Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI., , , , and . ICCV Workshops, page 434-439. IEEE, (2019)Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (11): 3949-3963 (2021)Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet., , , , , , , and . IEEE Trans. Med. Imaging, 38 (11): 2496-2506 (2019)Interactively Transferring CNN Patterns for Part Localization., , , , , and . CoRR, (2017)Prostate Cancer Diagnosis from Multi-parametric Magnetic Resonance Imaging via Deep Learning.. University of California, Los Angeles, USA, (2019)base-search.net (ftcdlib:qt0815r9gk).Extraction of an Explanatory Graph to Interpret a CNN., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (11): 3863-3877 (2021)Interpreting CNN knowledge via an Explanatory Graph., , , , and . CoRR, (2017)Explanatory Graphs for CNNs., , , , , and . CoRR, (2018)