FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models.
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IEEE Trans. Medical Imaging, 2022
Focused Decoding Enables 3D Anatomical Detection by Transformers.
CoRR, 2022
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning.
CoRR, 2022
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images.
CoRR, 2021
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging.
CoRR, 2021
Real-time Bayesian personalization via a learnable brain tumor growth model.
CoRR, 2020
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Deep Reinforcement Learning for Organ Localization in CT.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Abstract: Leveraging Web Data for Skin Lesion Classification.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging.
CoRR, 2018
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Webly Supervised Learning for Skin Lesion Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Perceptual considerations for motion blur rendering.
ACM Trans. Appl. Percept., 2011
Forensic identification by computer-aided craniofacial superimposition: A survey.
ACM Comput. Surv., 2011
Motion Blur Rendering: State of the Art.
Comput. Graph. Forum, 2011
A Study of the Suitability of Evolutionary Computation in 3D Modeling of Forensic Remains.
Proceedings of the Advances in Artificial Intelligence, 2011
Interactive HDR lighting of dynamic participating media.
Vis. Comput., 2009