Search Results for author: Fabien Scalzo

Found 6 papers, 0 papers with code

Nonlinear Schrödinger Kernel for hardware acceleration in machine learning inference

no code implementations15 Dec 2020 Tingyi Zhou, Fabien Scalzo, Bahram Jalali

Alternative machine learning approaches that are computationally light with low latency and can work with only a small training dataset are needed for applications where the insatiable demand of deep learning methods for computing power and large training data cannot be met.

Optics Signal Processing

Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time

no code implementations5 Nov 2020 Haoyue Zhang, Jennifer S Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W Arnold

We apply this approach to both 2D and 3D CNN architectures with our top model achieving an ROC-AUC value of 0. 74, with a sensitivity of 0. 70 and a specificity of 0. 81 for classifying TSS < 4. 5 hours.

Specificity Transfer Learning

Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI

no code implementations5 Oct 2019 Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven Raman, Kyung hyun Sung

Here, we propose the baseline MRI model to alternatively learn the appearance of mp-MRI using radiology-confirmed negative MRI cases via weakly supervised learning.

Management Weakly-supervised Learning

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning

no code implementations11 Jun 2018 Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David Liebeskind, Roland Wiest, Richard McKinley

In this work, we present a novel convolutional neural net- work based method for perfusion map generation in dynamic suscepti- bility contrast-enhanced perfusion imaging.

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