3 citations · 3 across the 4 of their papers we have counts for
4 papers
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation
Elay Dahan, Hedda Cohen Indelman, Angeles M. Perez-Agosto +4
The use of synthetic images in medical imaging Artificial Intelligence (AI) solutions has been shown to be beneficial in addressing the limited availability of diverse, unbiased, a…
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions
Hedda Cohen Indelman, Tamir Hazan
The Gumbel-Softmax probability distribution allows learning discrete tokens in generative learning, while the Gumbel-Argmax probability distribution is useful in learning discrete…
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models
Hedda Cohen Indelman, Elay Dahan, Angeles M. Perez-Agosto +3
Despite the remarkable success of deep learning in medical imaging analysis, medical image segmentation remains challenging due to the scarcity of high-quality labeled images for s…
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman, Tamir Hazan
Direct loss minimization is a popular approach for learning predictors over structured label spaces. This approach is computationally appealing as it replaces integration with opti…