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Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.

, , , , , , and . Bildverarbeitung für die Medizin, page 6-7. Springer, (2017)

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Quantifying and leveraging predictive uncertainty for medical image assessment., , , , , , , , , and 4 other author(s). Medical Image Anal., (2021)Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge., , , , , , , , , and 1 other author(s). CoRR, (2023)Design, Modeling, and Evaluation of Separable Tendon-Driven Robotic Manipulator with Long, Passive, Flexible Proximal Section., , , , and . CoRR, (2023)Design and validation of zero-slack separable manipulator for Intracardiac Echocardiography., , , and . CoRR, (2022)AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation., , , , and . CoRR, (2023)Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis., , , , , , and . Bildverarbeitung für die Medizin, page 6-7. Springer, (2017)Self-supervised Learning from 100 Million Medical Images., , , , , , , , , and 1 other author(s). CoRR, (2022)Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth., , , , , , , , , and 6 other author(s). CoRR, (2020)No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks., , , , , , and . CoRR, (2020)ConTrack: Contextual Transformer for Device Tracking in X-Ray., , , , and . MICCAI (9), volume 14228 of Lecture Notes in Computer Science, page 679-688. Springer, (2023)