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Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

, , , , , , , and . IEEE Trans. Med. Imaging, 38 (11): 2496-2506 (2019)

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Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer., , , , , , , , and . CoRR, (2019)Renal compartment segmentation in DCE-MRI images., , , , and . Medical Image Anal., (2016)Automatic Segmentation of Renal Compartments in DCE-MRI Images., , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 3-11. Springer, (2015)Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI., , , , and . ISBI, page 877-881. IEEE, (2021)Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field., , , , , , , and . ISBI, page 1900-1904. IEEE, (2019)Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation., , , , , , , and . IEEE Access, (2020)Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI., , , , and . ICCV Workshops, page 434-439. IEEE, (2019)CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI., , , , , and . IEEE Trans. Medical Imaging, 42 (1): 291-303 (2023)CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI., , , , , and . CoRR, (2022)Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention., , , , , , , , , and . CoRR, (2019)