14.3k citations
- Harvard UniversityUS128 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS51 papers
- Massachusetts Institute of TechnologyUS26 papers
- Brigham and Women's HospitalUS18 papers
- Harvard University PressUS16 papers
- Boston Children's HospitalUS12 papers
- Harvard–MIT Division of Health Sciences and TechnologyUS12 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- German Center for Neurodegenerative DiseasesDE9 papers
- InsermFR9 papers
- Johns Hopkins UniversityUS9 papers
- University College LondonGB9 papers
14 papers · 1 filter
The relationship between axial resolution and signal-to-noise ratio in optical coherence tomography
Danielle J. Harper, Benjamin J. Vakoc
In optical coherence tomography (OCT), axial resolution and signal-to-noise ratio (SNR) are typically viewed as uncoupled parameters. We show that this is only true for mirror-like…
Rapid head-pose detection for automated slice prescription of fetal-brain MRI
Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski +8
In fetal-brain MRI, head-pose changes between prescription and acquisition present a challenge to obtaining the standard sagittal, coronal and axial views essential to clinical ass…
Artificial intelligence and the future of diagnostic and therapeutic radiopharmaceutical development: in Silico smart molecular design
Bahar Ataeinia, Pedram Heidari
Novel diagnostic and therapeutic radiopharmaceuticals are increasingly becoming a central part of personalized medicine. Continued innovation in the development of new radiopharmac…
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
Xiaofeng Liu, Bo Hu, Linghao Jin +6
In this work, we propose a domain generalization (DG) approach to learn on several labeled source domains and transfer knowledge to a target domain that is inaccessible in training…
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
Sungmin Hong, Razvan Marinescu, Adrian V. Dalca +4
Image synthesis via Generative Adversarial Networks (GANs) of three-dimensional (3D) medical images has great potential that can be extended to many medical applications, such as,…
DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI
Jian-Wei Zhang, Wei Chen, K. Ina Ly +7
Neurofibromatosis type 1 (NF1) is an autosomal dominant tumor predisposition syndrome that involves the central and peripheral nervous systems. Accurate detection and segmentation…