Gregory A. Lodygensky

15 papers A* 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection.
CVPR
Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025 J jnl
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection.
CoRR
Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025 J jnl
Diffusion Bubble Model: A novel MRI approach for detection and subtyping of neonatal punctate white matter lesions.
NeuroImage
Erjun Zhang, Benjamin De Leener, Gregory A. Lodygensky
2025 J jnl
Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization.
Medical Image Anal.
Farzad Beizaee, Gregory A. Lodygensky, Christopher L. Adamson, Deanne K. Thompson, Jeanie L. Y. Cheong, Alicia J. Spittle, Peter J. Anderson, Christian Desrosiers, Jose Dolz
2025 — conf
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection.
IPMI (2)
Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025 J jnl
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection.
CoRR
Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025 — conf
Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.
MICCAI (4)
Farzad Beizaee, Sina Hajimiri, Ismail Ben Ayed, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2024 J jnl
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization.
CoRR
Farzad Beizaee, Gregory A. Lodygensky, Christopher L. Adamson, Deanne K. Thompson, Jeanie L. Y. Cheong, Alicia J. Spittle, Peter J. Anderson, Christian Desrosiers, Jose Dolz
2023 — conf
Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows.
IPMI
Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz
2023 J jnl
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows.
CoRR
Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz
2022 J jnl
NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline.
Frontiers Neuroinformatics
Vicente Enguix, Jeanette K. Kenley, David Luck, Julien Cohen-Adad, Gregory A. Lodygensky
2022 — conf
On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation.
UNSURE@MICCAI
Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz
2022 J jnl
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation.
CoRR
Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz
2020 — conf
The Effect of Experience on Learnability and Usability of a Neuroimaging Platform.
HCI (41)
Thomas Ruel, Pierre-Majorique Léger, Gregory A. Lodygensky, David Luck, Yang Ding, Bertrand Demolin, Sylvain Sénécal
2012 J jnl
In vivo assessment of myelination by phase imaging at high magnetic field.
NeuroImage
Gregory A. Lodygensky, José P. Marques, Rajika Maddage, Elodie Perroud, Stéphane V. Sizonenko, Petra S. Hüppi, Rolf Gruetter