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A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751P. SPIE, (2018)Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (8): 1259-1266 (2019)X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model., , , , , , and . CoRR, (2021)KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records., , , , , , , and . CoRR, (2021)Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Model-based tractography based on statistical atlas of MR-DTI., , , and . ISBI, page 89-92. IEEE, (2006)On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks., , , , and . CoRR, (2020)Aging prediction using deep generative model toward the development of preventive medicine., , , , and . CoRR, (2022)Local Differential Privacy Image Generation Using Flow-based Deep Generative Models., , , , , , , and . CoRR, (2022)Novel platform for development, training, and validation of computer-assisted detection/diagnosis software., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (4): 661-672 (2020)