H. Breit

发表

High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach

D. Boll, T. Heye, T. Block, 2020, European Radiology.

Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation.

D. Comaniciu, D. Boll, E. Gibson, 2020, European journal of radiology.

Potential of Stroke Imaging Using a New Prototype of Low-Field MRI: A Prospective Direct 0.55 T/1.5 T Scanner Comparison

G. D. De Marchis, M. Bach, M. Psychogios, 2022, Journal of clinical medicine.

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

Shan Yang, Joshy Cyriac, M. Meyer, 2022, ArXiv.

Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation

B. Stieltjes, Klaus Maier-Hein, G. Sommer, 2023, European Radiology.

Evaluation of the apparent diffusion coefficient in patients with recurrent glioblastoma under treatment with bevacizumab with radiographic pseudoresponse.

C. Sommer, F. Ringel, M. Brockmann, 2019, Journal of neuroradiology. Journal de neuroradiologie.

Revisiting DCE-MRI

D. Boll, T. Heye, T. Block, 2021, Investigative radiology.

Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores.

Bibo Shi, D. Boll, H. Seifert, 2020, Quantitative imaging in medicine and surgery.

Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses

Bram Stieltjes, David J. Winkel, Hanns-Christian Breit, 2021, Journal of Digital Imaging.

Contrast Agent Bolus Dispersion in a Realistic Coronary Artery Geometry: Influence of Outlet Boundary Conditions

K. Sommer, L. Schreiber, R. Schmidt, 2014, Annals of Biomedical Engineering.

Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage

R. Guzman, J. Fiehler, M. Psychogios, 2023, Journal of clinical medicine.

Evaluation of liver fibrosis and cirrhosis on the basis of quantitative T1 mapping: Are acute inflammation, age and liver volume confounding factors?

K. T. Block, B. Stieltjes, D. Boll, 2021, European journal of radiology.

Prospective Assessment of Cerebral Microbleeds with Low-Field Magnetic Resonance Imaging (0.55 Tesla MRI)

G. D. De Marchis, J. Lieb, M. Bach, 2023, Journal of clinical medicine.

More Space, Less Noise—New-generation Low-Field Magnetic Resonance Imaging Systems Can Improve Patient Comfort: A Prospective 0.55T–1.5T-Scanner Comparison

E. Merkle, M. Bach, T. Rusche, 2022, Journal of clinical medicine.

[Economic aspects of low-field magnetic resonance imaging : Acquisition, installation, and maintenance costs of 0.55 T systems].

E. Merkle, H. Breit, J. Vosshenrich, 2022, Der Radiologe.

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images.

A. Sauter, Shan Yang, Joshy Cyriac, 2022, Radiology. Artificial intelligence.

Safety profile of robotic-assisted transperineal MRI-US-fusion guided biopsy of the prostate

H. Seifert, D. Winkel, C. Wetterauer, 2022, Frontiers in Oncology.

Initial Experience in Developing AI Algorithms in Medical Imaging Based on Annotations Derived From an E-Learning Platform

Bram Stieltjes, Jakob Wasserthal, Thomas Weikert, 2021 .

Image Quality of Lumbar Spine Imaging at 0.55T Low-Field MRI is Comparable to Conventional 1.5T MRI - Initial Observations in Healthy Volunteers.

M. Bach, H. Breit, D. Harder, 2023, Academic radiology.

Morphologic and Functional Assessment of Sarcoidosis Using Low-Field MRI.

H. Breit, G. Bauman, 2022, Radiology.

Resting myocardial blood flow quantification using contrast-enhanced magnetic resonance imaging in the presence of stenosis: A computational fluid dynamics study.

K. Sommer, L. Schreiber, R. Schmidt, 2015, Medical physics.

Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep Learning.

Christian Federau, Soren Christensen, Maarten G. Lansberg, 2020, Radiology. Artificial intelligence.

Visual and quantitative assessment of hip implant-related metal artifacts at low field MRI: a phantom study comparing a 0.55-T system with 1.5-T and 3-T systems

B. Stieltjes, M. Clauss, T. Weikert, 2023, European Radiology Experimental.

CNN-based evaluation of bone density improves diagnostic performance to detect osteopenia and osteoporosis in patients with non-contrast chest CT examinations.

U. Schoepf, S. Bridenbaugh, R. Kressig, 2023, European journal of radiology.