no code implementations • 6 Jun 2023 • Ella Eidlin, Assaf Hoogi, Nathan S. Netanyahu
This innovative approach has the potential to significantly enhance the diagnostic accuracy and early detection of diseases, making it a promising advancement in X-ray imaging technology.
no code implementations • 2 Jun 2023 • Roi Peleg, Teddy Lazebnik, Assaf Hoogi
Existing optimizers predominantly adopt techniques based on the first-order exponential moving average (EMA), which results in noticeable delays that impede the real-time tracking of gradients trend and consequently yield sub-optimal performance.
1 code implementation • 19 Aug 2019 • Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel Rubin, Demetri Terzopoulos
Lesion segmentation is an important problem in computer-assisted diagnosis that remains challenging due to the prevalence of low contrast, irregular boundaries that are unamenable to shape priors.
2 code implementations • NeurIPS 2019 • Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
Unfortunately, acquiring sufficient "labeled" pairs of {Image, fMRI} (i. e., images with their corresponding fMRI responses) to span the huge space of natural images is prohibitive for many reasons.
no code implementations • 29 Apr 2019 • Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin
Then, the Self-Attention layer learns to suppress irrelevant regions based on features analysis and highlights salient features useful for a specific task.
2 code implementations • 13 Feb 2018 • Haque Ishfaq, Assaf Hoogi, Daniel Rubin
Deep metric learning has been demonstrated to be highly effective in learning semantic representation and encoding information that can be used to measure data similarity, by relying on the embedding learned from metric learning.
no code implementations • 19 Mar 2017 • Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin
We propose a fully-automated method for accurate and robust detection and segmentation of potentially cancerous lesions found in the liver and in lymph nodes.
no code implementations • 12 Jun 2016 • Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin
We compare our method to a global level set segmentation and to local framework that uses predefined fixed-size square windows.