Assaf Hoogi

According to our database, Assaf Hoogi authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unsupervised Iterative U-Net with an Internal Guidance Layer for Vertebrae Contrast Enhancement in Chest X-Ray Images.

Ella Eidlin, Assaf Hoogi, Nathan S. Netanyahu

CoRR, 2023

Leveraging the Triple Exponential Moving Average for Fast-Adaptive Moment Estimation.

Roi Peleg, Roi Weiss, Assaf Hoogi

CoRR, 2023

2022

Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity.

Guy Gaziv, Roman Beliy, Niv Granot, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani

NeuroImage, 2022

Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics.

Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2020

Natural Language Generation Model for Mammography Reports Simulation.

Assaf Hoogi, Arjun Mishra, Francisco Gimenez, Jeffrey Dong, Daniel L. Rubin

IEEE J. Biomed. Health Informatics, 2020

2019

Self-Attention Capsule Networks for Image Classification.

Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin

CoRR, 2019

From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI.

Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Active Lesion Segmentation.

Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2017

Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.

Assaf Hoogi, Arjun Subramaniam, Rishi Veerapaneni, Daniel L. Rubin

IEEE Trans. Medical Imaging, 2017

Adaptive local window for level set segmentation of CT and MRI liver lesions.

Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin

Medical Image Anal., 2017

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson

J. Digit. Imaging, 2017

A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes.

Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin

CoRR, 2017

2016

Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.

Idit Diamant, Assaf Hoogi, Christopher F. Beaulieu, Mustafa Safdari, Eyal Klang, Michal Amitai, Hayit Greenspan, Daniel L. Rubin

IEEE J. Biomed. Health Informatics, 2016

Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.

Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge, Daniel L. Rubin

Medical Image Anal., 2016

2015

Weighted locality-constrained linear coding for lesion classification in CT images.

Yixuan Yuan, Assaf Hoogi, Christopher F. Beaulieu, Max Q.-H. Meng, Daniel L. Rubin

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013

Evaluation of a 3D technique for quantifying neovascularization within plaques imaged by contrast enhanced ultrasound.

Assaf Hoogi, Grigoriy Zurakhov, Dan Adam

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013