932 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- McGill UniversityCA41 papers
- Trottier Space Institute at McGillCA11 papers
- Center for Astrophysics Harvard & SmithsonianUS4 papers
- Harvard UniversityUS4 papers
- University College LondonGB4 papers
- University of PennsylvaniaUS4 papers
- University of TorontoCA4 papers
- Case Western Reserve UniversityUS3 papers
- Heidelberg UniversityDE3 papers
- Herzberg Institute of AstrophysicsCA3 papers
- Jewish General HospitalCA3 papers
- Massachusetts Institute of TechnologyUS3 papers
6 papers · 1 filter
Development of a defacing algorithm to protect the privacy of head and neck cancer patients in publicly-accessible radiotherapy datasets
Kayla O'Sullivan-Steben, Luc Galarneau, John Kildea
Introduction: The rise in public medical imaging datasets has raised concerns about patient reidentification from head CT scans. However, existing defacing algorithms often remove…
Quantification of head and neck cancer patients' anatomical changes during radiotherapy: prediction of replanning need
Odette Rios-Ibacache, James Manalad, Kayla O'Sullivan-Steben +5
Head and neck cancer (HNC) patients who undergo radiotherapy (RT) may experience anatomical changes during treatment, compromising the validity of the initial treatment plan, neces…
Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping
Ilana R Leppert, Pietro Bontempi, Christopher D Rowley +6
We present a novel dual-encoded magnetization transfer (MT) and diffusion-weighted sequence and demonstrate its potential to resolve distinct properties of white matter fiber tract…
High-resolution diffusion-weighted imaging at 7 Tesla: single-shot readout trajectories and their impact on signal-to-noise ratio, spatial resolution and accuracy
Sajjad Feizollah, Christine L. Tardif
Diffusion MRI (dMRI) is a valuable imaging technique to study the brain in vivo. However, the resolution of dMRI is limited by the low signal-to-noise ratio (SNR) of this technique…
Deep learning-based tumor segmentation on digital images of histopathology slides for microdosimetry applications
Luca L. Weishaupt, Jose Torres, Sophie Camilleri-Broët +4
The goal of this study was (i) to use artificial intelligence to automate the traditionally labor-intensive process of manual segmentation of tumor regions in patho…
RapidBrachyMCTPS 2.0: A Comprehensive and Flexible Monte Carlo-Based Treatment Planning System for Brachytherapy Applications
Harry Glickman, Majd Antaki, Christopher Deufel +1
We have previously described RapidBrachyMCTPS, a brachytherapy treatment planning toolkit consisting of a graphical user interface (GUI) and a Geant4-based Monte Carlo (MC) dose ca…