Assaf Hoogi

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 17

Top Topics

Lesion Segmentation

Automated Classification

Contrast Enhanced

Level Set Segmentation

Top Venues

IEEE J. Biomed. Health Informatics

Medical Image Anal.

Publications

Roi Peleg, Roi Weiss, Assaf Hoogi
Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation. CoRR (2023)
Ella Eidlin, Assaf Hoogi, Nathan S. Netanyahu
Unsupervised Iterative U-Net with an Internal Guidance Layer for Vertebrae Contrast Enhancement in Chest X-Ray Images. CoRR (2023)
Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin
Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics. ECCV Workshops (3) (2022)
Guy Gaziv, Roman Beliy, Niv Granot, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity. NeuroImage 254 (2022)
Assaf Hoogi, Arjun Mishra, Francisco Gimenez, Jeffrey Dong, Daniel L. Rubin
Natural Language Generation Model for Mammography Reports Simulation. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin
Self-Attention Capsule Networks for Image Classification. CoRR (2019)
Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos
Deep Active Lesion Segmentation. CoRR (2019)
Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos
Deep Active Lesion Segmentation. MLMI@MICCAI (2019)
Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI. CoRR (2019)
Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI. NeurIPS (2019)
Assaf Hoogi, Arjun Subramaniam, Rishi Veerapaneni, Daniel L. Rubin
Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis. IEEE Trans. Medical Imaging 36 (3) (2017)
Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin
Adaptive local window for level set segmentation of CT and MRI liver lesions. Medical Image Anal. 37 (2017)
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions. J. Digit. Imaging 30 (4) (2017)
Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes. CoRR (2017)
Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge, Daniel L. Rubin
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles. Medical Image Anal. 30 (2016)
Idit Diamant, Assaf Hoogi, Christopher F. Beaulieu, Mustafa Safdari, Eyal Klang, Michal Amitai, Hayit Greenspan, Daniel L. Rubin
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions. IEEE J. Biomed. Health Informatics 20 (6) (2016)
Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin
Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions. CoRR (2016)
Yixuan Yuan, Assaf Hoogi, Christopher F. Beaulieu, Max Q.-H. Meng, Daniel L. Rubin
Weighted locality-constrained linear coding for lesion classification in CT images. EMBC (2015)
Assaf Hoogi, Grigoriy Zurakhov, Dan Adam
Evaluation of a 3D technique for quantifying neovascularization within plaques imaged by contrast enhanced ultrasound. EMBC (2013)