Harvard Catalyst Profiles

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Nazim Haouchine, Ph.D.

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Biography
2024
Best Paper at MICCAI AE-CAI
2024
Best Oral Presentation at MICCAI ASMUS
2023
MICCAI Medical Image Reconstruction and Registration Poster Highlight
2020
Best of MICCAI by CVN
2020
Harvard Data Science Initiative innovation grant
2017
IEEE Best Poster Award (runner-up) at ISMAR
2015
TVCG Top Ranked AR/VR paper
2015
NVIDIA Computer Graphics Prize for Medical Software at Eurographics
2014
TVCG Top Ranked AR/VR paper
2013
IEEE Best Paper Award (runner-up) at ISMAR

Overview
Please visit my personal webpage for updated information.

I am currently a faculty researcher at the Surgical Planning Lab (SPL), a unit of Harvard Medical School and the Radiology Department of Brigham and Women's Hospital. I'm also a member of the GolbyLab and the National Center for Image Guided Therapy (NCIGT). My research work is at the interface of computer vision and graphics, machine learning and physics-based modelling with applications in surgery and radiology.

Before joining the SPL I was a post-doctoral research fellow at IHU Strasbourg (France). I obtained my Ph.D. in computer science at the University of Lille and Inria (France).

Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. K25EB035166 (HAOUCHINE, NAZIM) Mar 1, 2024 - Feb 29, 2028
    NIH
    New Tools for Enhancing Cerebral Angiography: From Planning to Navigation
    Role: Principal Investigator
  2. R03EB033910 (HAOUCHINE, NAZIM) Aug 1, 2023 - Jul 31, 2025
    NIH
    Vessel Identification and Tracing in DSA Image Series for Cerebrovascular Surgical Planning
    Role: Principal Investigator
  3. R03EB032050 (HAOUCHINE, NAZIM) Jul 13, 2021 - Apr 30, 2023
    NIH
    Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose
    Role: Principal Investigator

Bibliographic
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.