469 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University Health NetworkCA6 papers
- University of TorontoCA5 papers
- Princess Margaret Cancer CentreCA4 papers
- Vector InstituteCA3 papers
- Broad InstituteUS2 papers
- Centre Inria de SaclayFR2 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- Deutsches Konsortium für Translationale KrebsforschungDE2 papers
- DKFZ-ZMBH AllianceDE2 papers
- European Molecular Biology LaboratoryDE2 papers
- European Society for Medical OncologyCH2 papers
- Frankfurt Cancer InstituteDE2 papers
7 papers
Neyman Pearson Detector for Multiple Ambient Backscatter Zero-Energy-Devices Beacons using Near-Perfect Code
Shanglin Yang, Jean-Marie Gorce, Muhammad Jehangir Khan +2
Recently, a novel ultra-low-power indoor localization system based on Zero-Energy Devices (ZEDs) has shown promising results in ambient backscatter communication. In this paper, we…
Leveraging Clinical Text and Class Conditioning for 3D Prostate MRI Generation
Emerson P. Grabke, Babak Taati, Masoom A. Haider
Objective: Latent diffusion models (LDM) could alleviate data scarcity challenges affecting machine learning development for medical imaging. However, medical LDM strategies typica…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance
Aly Khalifa, Jeff Winter, Inmaculada Navarro +2
Objective: Machine learning (ML) based radiation treatment (RT) planning addresses the iterative and time-consuming nature of conventional inverse planning. Given the rising import…
Cosmology with the kinetic Sunyaev-Zeldovich effect: Independent of the optical depth and
Joseph Kuruvilla
The cosmological constraints from the kinetic Sunyaev-Zeldovich experiments are degenerate with the optical depth measurement, which is commonly known as the optical-depth degenera…
Optical phased array neural probes for beam-steering in brain tissue
Wesley D. Sacher, Fu-Der Chen, Homeira Moradi-Chameh +13
Implantable silicon neural probes with integrated nanophotonic waveguides can deliver patterned dynamic illumination into brain tissue at depth. Here, we introduce neural probes wi…