Tammy Riklin Raviv

Latest

The Cell Tracking Challenge: 10 years of objective benchmarking
Generating Artistic Images Via Few-Shot Style Transfer
Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation
A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment
Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos
Graph Neural Network for Cell Tracking in Microscopy Videos
Stochastic weight pruning and the role of regularization in shaping network structure
An atlas of classifiers—a machine learning paradigm for brain MRI segmentation
Deep Semi-Supervised Bias Field Correction Of Mr Images
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
Subsampled brain MRI reconstruction by generative adversarial neural networks
Miswiring of Frontostriatal Projections in Schizophrenia
Slow blood-to-brain transport underlies enduring barrier dysfunction in American football players
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
The Worrisome Impact of an Inter-rater Bias on Neural Network Training
From a deep learning model back to the brain—Identifying regional predictors and their relation to aging
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions
From a deep learning model back to the brain - inferring morphological markers and their relation to aging
QANet -- Quality Assurance Network for Image Segmentation
Combining white matter diffusion and geometry for tract-specific alignment and variability analysis
Microscopy Cell Segmentation Via Convolutional LSTM Networks
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography
Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri
Multidimensional co-segmentation of longitudinal brain MRI ensembles in the presence of a neurodegenerative process
Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy
A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos
Microscopy cell segmentation via adversarial neural networks
Model-dependent uncertainty estimation of medical image segmentation
Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players