7 citations · 10 across the 6 of their papers we have counts for
6 papers
Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices
Jose D. Vargas-Quiros, Dennis Bontempi, Jeroen Vermeulen +3
Patient identity errors can compromise longitudinal medical records, research databases, and downstream clinical decisions. We present a retinal biometric system for verifying clai…
MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging
Leonard Nürnberg, Dennis Bontempi, Suraj Pai +17
Artificial intelligence (AI) has the potential to transform medical imaging by automating image analysis and accelerating clinical research. However, research and clinical use are…
Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Fridolin Haugg, Grace Lee, John He +14
Background: Facial appearance offers a noninvasive window into health. We built FAHR-Face, a foundation model trained on >40 million facial images and fine-tuned it for two distinc…
Vision Foundation Models for Computed Tomography
Suraj Pai, Ibrahim Hadzic, Dennis Bontempi +5
Foundation models (FMs) have shown transformative potential in radiology by performing diverse, complex tasks across imaging modalities. Here, we developed CT-FM, a large-scale 3D…
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi +6
Public imaging datasets are critical for the development and evaluation of automated tools in cancer imaging. Unfortunately, many do not include annotations or image-derived featur…
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI
Dennis Bontempi, Sergio Benini, Alberto Signoroni +2
Many functional and structural neuroimaging studies call for accurate morphometric segmentation of different brain structures starting from image intensity values of MRI scans. Cur…