Comparison of Energy Minimization Methods for 3-D Brain Tissue Classification

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Comparison of Energy Minimization Methods for 3-D Brain Tissue Classification

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A Flat Tendon-Driven Continuum Microrobot for Brain Interventions

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Robust Outlier Rejection for 3D Registration with Variational Bayes

SoDaCam: Software-defined Cameras via Single-Photon Imaging

CSF tap test in idiopathic normal pressure hydrocephalus: still a necessary prognostic test?

Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks

A multi-scale probabilistic atlas of the human connectome

Does one size fit all? - Towards the optimization and personalization of non-invasive brain stimulation paradigms to enhance motor learning

SUBDIVIDE AND CONQUER Active Contours and Surfaces for Biomedical Image Segmentation

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Mean-Field methods for Structured Deep-Learning in Computer Vision

High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

Deep Feature Factorization for Concept Discovery

Variational Methods for Human Modeling

Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Development and applications of hyperpolarized 13C and 1H MR spectroscopy of cerebral metabolism at ultra-high field

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization