Stefano B. Blumberg | DeepAI

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∙ 04/26/2023

Low-field magnetic resonance image enhancement via stochastic image quality transfer

Low-field (<1T) magnetic resonance imaging (MRI) scanners remain in wide...

0 Hongxiang Lin, et al. ∙

∙ 10/17/2022

Deformably-Scaled Transposed Convolution

Transposed convolution is crucial for generating high-resolution outputs...

8 Stefano B. Blumberg, et al. ∙

∙ 10/13/2022

An Experiment Design Paradigm using Joint Feature Selection and Task Optimization

This paper presents a subsampling-task paradigm for data-driven task-spe...

8 Stefano B. Blumberg, et al. ∙

∙ 10/05/2022

Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning

Machine learning is a powerful approach for fitting microstructural mode...

0 Jason P. Lim, et al. ∙

∙ 03/19/2022

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

We propose MisMatch, a novel consistency-driven semi-supervised segmenta...

0 Mou-Cheng Xu, et al. ∙

∙ 03/17/2022

Progressive Subsampling for Oversampled Data – Application to Quantitative MRI

We present PROSUB: PROgressive SUBsampling, a deep learning based, autom...

0 Stefano B. Blumberg, et al. ∙

∙ 03/12/2022

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation

Estimating clinically-relevant vascular features following vessel segmen...

0 Yukun Zhou, et al. ∙

∙ 10/23/2021

MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation

The lack of labels is one of the fundamental constraints in deep learnin...

0 Mou-Cheng Xu, et al. ∙

∙ 11/04/2020

DeepReg: a deep learning toolkit for medical image registration

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...

31 Yunguan Fu, et al. ∙

∙ 04/07/2020

QuantNet: Transferring Learning Across Systematic Trading Strategies

In this work we introduce QuantNet: an architecture that is capable of t...

0 Adriano Koshiyama, et al. ∙

∙ 03/16/2020

Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients

1.5T or 3T scanners are the current standard for clinical MRI, but low-f...

0 Matteo Figini, et al. ∙

∙ 12/03/2019

Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI

The recent success of deep learning together with the availability of la...

43 Daniele Ravì, et al. ∙

∙ 09/15/2019

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator

MR images scanned at low magnetic field (<1T) have lower resolution in t...

31 Hongxiang Lin, et al. ∙

∙ 07/26/2019

Multi-Stage Prediction Networks for Data Harmonization

In this paper, we introduce multi-task learning (MTL) to data harmonizat...

1 Stefano B. Blumberg, et al. ∙

∙ 05/26/2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology

We predicted residual fluid intelligence scores from T1-weighted MRI dat...

0 Neil P. Oxtoby, et al. ∙

∙ 05/26/2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression

We applied several regression and deep learning methods to predict fluid...

0 Agoston Mihalik, et al. ∙

∙ 08/16/2018

Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images

In this paper we address the memory demands that come with the processin...

0 Stefano B. Blumberg, et al. ∙

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