Research
Hard questions, and the software to answer them.
Thirteen years of research across medical imaging, neuroscience and statistical physics. Driven by impact for the greater good, with computational work as the common thread and an interdisciplinary approach throughout.
Google Scholar profile01Memorial Sloan Kettering Cancer Center, 2021 – 2025
Making body MRI faster
Pushing the boundaries of diffusion and body magnetic resonance imaging (MRI) for faster, clearer scans, with deep learning reconstruction validated in clinical studies. Together with colleagues in the Medical Physics and Radiology departments.
With Youngwook Kee, Eric Aliotta, Ricardo Otazo and Iva Petkovska.
Mungsoo Kang, Or Alus, Youngwook Kee
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025
Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation
Mungsoo Kang, Ricardo Otazo, Gerald Behr, Or Alus, Youngwook Kee
International Society for Magnetic Resonance in Medicine (ISMRM), abstract, 2025
Iva Petkovska*, Or Alus*, Lee Rodriguez, Maria El Homsi, Jennifer S. Golia Pernicka, Maria Clara Fernandes, Junting Zheng, Marinela Capanu, Ricardo Otazo
European Journal of Radiology (2024): 111802
*Co-first authors
Accelerating low-distortion diffusion MRI of the head and neck with transfer learning from a different organ, acquisition and scanner
Or Alus, Victoria Yu, Ricardo Otazo, Eric Aliotta
ISMRM, abstract, 2024
Convolutional Network Denoising for Acceleration of Multi-Shot Diffusion MRI
Or Alus, Maria El Homsi, Jennifer Golia Pernicka, Lee Rodriguez, Yousef Mazaheri, Youngwook Kee, Iva Petkovska, Ricardo Otazo
Magnetic Resonance Imaging 105 (2024): 108–113
Accelerated multi-shot diffusion MRI using deep learning denoising
Or Alus, Maria El Homsi, Lee Rodriguez, Yousef Mazaheri, Youngwook Kee, Iva Petkovska, Ricardo Otazo
ISMRM, abstract, 2023
Magna Cum Laude merit award
Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network
Mohaddese Mohammadi, Elena A. Kaye, Or Alus, Youngwook Kee, Jennifer S. Golia Pernicka, Maria El Homsi, Iva Petkovska, Ricardo Otazo
Bioengineering 10, no. 3 (2023): 359
02Ph.D., Department of Physics, Technion – Israel Institute of Technology, 2012 – 2018
Universality in chaos and dynamical systems
Finding structure and universality in systems that are partly chaotic, both classical and quantum. I had the great privilege of being advised by the late Shmuel Fishman, whom I miss dearly, and of receiving additional guidance from Jim Meiss.
With Shmuel Fishman and Jim Meiss.
Statistical Description of Mixed Phase Space Hamiltonian Systems
Or Alus
Ph.D. thesis, Department of Physics, Technion – Israel Institute of Technology, 2018
Quantum correlations for a simple kicked system with mixed phase space
Or Alus, Shmuel Fishman, Mark Srednicki
Physical Review E 97, 062213 (2018)
Universal exponent for transport in mixed Hamiltonian dynamics
Or Alus, Shmuel Fishman, James D. Meiss
Physical Review E 96, 032204 (2017)
Probing the statistics of transport in the Hénon map
Or Alus, Shmuel Fishman, James D. Meiss
European Physical Journal Special Topics 225, 6 (2016): 1181–1186
Statistics of the Island-Around-Island Hierarchy in Hamiltonian Phase Space
Or Alus, Shmuel Fishman, James D. Meiss
Physical Review E 90, 062923 (2014)


03Undergraduate research in Materials Engineering, with Rafael Advanced Defense Systems, 2010 – 2012
Strain sensing in adhesives
Monitoring the loads inside adhesive joints with fiber-optic Bragg grating sensors.
Monitoring the loads inside adhesive joints by fiber Bragg sensors
E. Shafir, G. Berkovic, S. Zilberman, Y. Saadi, Or Alus, M. Rein, Y. Shoin, H. Bar, O. Breuer
Proceedings of the 6th European Workshop on Structural Health Monitoring (EWSHM 2012), ed. C. Boller, pp. 507–514
04Rockefeller University, 2018 – 2021
Other projects
- Identifying whether subjects under anesthetic drugs are awake or asleep from their electroencephalogram (EEG) signals, with Marcelo Magnasco at Rockefeller University.
- Analyzing neural imaging of the rodent olfactory bulb to connect the chemical properties of odors to the sense of smell, with Marcelo Magnasco at Rockefeller University.