Assaf Hoogi

22 papers A* 2Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Break a Lag: Triple Exponential Moving Average for Enhanced Optimization.
Mach. Learn.
Roi Peleg, Yair Smadar, Teddy Lazebnik, Assaf Hoogi
2025 A* conf
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics.
CVPR
Yair Smadar, Assaf Hoogi
2025 — conf
Improving Few-Shot-Segmentation of New Structures in Volumetric Medical Images by Support Set Optimization.
EMA4MICCAI
Yekutiel Uliel, Alina Ryabtsev, Assaf Hoogi, Leo Joskowicz
2023 J jnl
Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation.
CoRR
Roi Peleg, Roi Weiss, Assaf Hoogi
2023 J jnl
Unsupervised Iterative U-Net with an Internal Guidance Layer for Vertebrae Contrast Enhancement in Chest X-Ray Images.
CoRR
Ella Eidlin, Assaf Hoogi, Nathan S. Netanyahu
2022 — conf
Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics.
ECCV Workshops (3)
Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin
2022 J jnl
Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity.
NeuroImage
Guy Gaziv, Roman Beliy, Niv Granot, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
2020 J jnl
Natural Language Generation Model for Mammography Reports Simulation.
IEEE J. Biomed. Health Informatics
Assaf Hoogi, Arjun Mishra, Francisco Gimenez, Jeffrey Dong, Daniel L. Rubin
2019 — conf
Deep Active Lesion Segmentation.
MLMI@MICCAI
Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos
2019 J jnl
Deep Active Lesion Segmentation.
CoRR
Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos
2019 A* conf
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI.
NeurIPS
Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
2019 J jnl
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI.
CoRR
Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
2019 J jnl
Self-Attention Capsule Networks for Image Classification.
CoRR
Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin
2017 J jnl
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes.
CoRR
Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin
2017 J jnl
Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.
IEEE Trans. Medical Imaging
Assaf Hoogi, Arjun Subramaniam, Rishi Veerapaneni, Daniel L. Rubin
2017 J jnl
Adaptive local window for level set segmentation of CT and MRI liver lesions.
Medical Image Anal.
Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin
2017 J jnl
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.
J. Digit. Imaging
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson
2016 J jnl
Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions.
CoRR
Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin
2016 J jnl
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.
Medical Image Anal.
Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge, Daniel L. Rubin
2016 J jnl
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.
IEEE J. Biomed. Health Informatics
Idit Diamant, Assaf Hoogi, Christopher F. Beaulieu, Mustafa Safdari, Eyal Klang, Michal Amitai, Hayit Greenspan, Daniel L. Rubin
2015 — conf
Weighted locality-constrained linear coding for lesion classification in CT images.
EMBC
Yixuan Yuan, Assaf Hoogi, Christopher F. Beaulieu, Max Q.-H. Meng, Daniel L. Rubin
2013 — conf
Evaluation of a 3D technique for quantifying neovascularization within plaques imaged by contrast enhanced ultrasound.
EMBC
Assaf Hoogi, Grigoriy Zurakhov, Dan Adam