HRLB Lab
HRLB Lab
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Device and method for alignment of multi-modal clinical images using joint synthesis, segmentation, and registration
339 THE ASSOCIATION BETWEEN HEPATIC STEATOSIS AND INCIDENT CARDIOVASCULAR DISEASE AND ALL-CAUSE MORTALITY IN A US MULTI-COHORT STUDY
A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data
Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements
Construction of a multi-phase contrast computed tomography kidney atlas
Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging
Development and characterization of a chest CT atlas
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach
Pancreas CT Segmentation by Predictive Phenotyping
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks
Contrast phase classification with a generative adversarial network
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results
Development and Characterization of a Chest CT Atlas
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach
Jssr: A joint synthesis, segmentation, and registration system for 3d multi-modal image alignment of large-scale pathological ct scans
Multi-Contrast Computed Tomography Healthy Kidney Atlas
Multi-Contrast Computed Tomography Healthy Kidney Atlas
Multi-path xD recurrent neural networks for collaborative image classification
Time-distanced gates in long short-term memory networks
Tractography reproducibility challenge with empirical data (TraCED): the 2017 ISMRM diffusion study group challenge
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI
Development of a lung nodule cohort with integrated clinical, molecular and imaging biomarkers
Distanced LSTM: time-distanced gates in long short-term memory models for lung cancer detection
Enabling multi-shell b-value generalizability of data-driven diffusion models with deep SHORE
Improved gray matter surface based spatial statistics in neuroimaging studies
Stochastic tissue window normalization of deep learning on computed tomography
Synthesized b0 for diffusion distortion correction (Synb0-DisCo)
Fully convolutional neural networks improve abdominal organ segmentation
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