Showing 1–18 of 18 results
/ Date/ Name
Nov 10, 2020Invertible Neural Networks for Uncertainty Quantification in Photoacoustic ImagingNov 5, 2019Out of distribution detection for intra-operative functional imagingDec 16, 2022Biomedical image analysis competitions: The state of current participation practiceMar 8, 2019Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networksSep 18, 2023Application-driven Validation of Posteriors in Inverse ProblemsJan 31, 2026SEISMO: Increasing Sample Efficiency in Molecular Optimization with a Trajectory-Aware LLM AgentDec 11, 2024Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AIApr 26, 2019Photoacoustic monitoring of blood oxygenation during neurosurgical interventionsNov 17, 2022Sources of performance variability in deep learning-based polyp detectionDec 15, 2020Representing Ambiguity in Registration Problems with Conditional Invertible Neural NetworksMar 22, 2023Self-distillation for surgical action recognitionJan 9, 2019Photoacoustics can image spreading depolarization deep in gyrencephalic brainFeb 15, 2019Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)May 28, 2021Video-rate multispectral imaging in laparoscopic surgery: First-in-human applicationMar 30, 2023Why is the winner the best?Mar 17, 2023Unsupervised Domain Transfer with Conditional Invertible Neural NetworksMay 7, 2020Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating RoomNov 9, 2021Robust deep learning-based semantic organ segmentation in hyperspectral images