CT and MRI of Gastrointestinal Stromal Tumours: New Trends and Perspectives

M Barat, A Pellat, A Dohan, C Hoeffel… - Canadian …, 2024 - journals.sagepub.com
Gastrointestinal stromal tumours (GISTs) are defined as mesenchymal tumours of the
gastrointestinal tract that express positivity for CD117, which is a c-KIT proto-oncogene …

CT and MRI of abdominal cancers: current trends and perspectives in the era of radiomics and artificial intelligence

M Barat, A Pellat, C Hoeffel, A Dohan, R Coriat… - Japanese journal of …, 2024 - Springer
Abdominal cancers continue to pose daily challenges to clinicians, radiologists and
researchers. These challenges are faced at each stage of abdominal cancer management …

[HTML][HTML] Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction

S Afat, J Herrmann, H Almansour, T Benkert… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to investigate the impact of deep learning
accelerated diffusion-weighted imaging (DWI DL) in 1.5-T liver MRI on image quality …

Novel deep-learning-based diffusion weighted imaging sequence in 1.5 T breast MRI

D Wessling, S Gassenmaier, SC Olthof… - European Journal of …, 2023 - Elsevier
Purpose This study aimed to assess the technical feasibility, the impact on image quality,
and the acquisition time (TA) of a new deep-learning-based reconstruction algorithm in …

[HTML][HTML] Thin-slice prostate MRI enabled by deep learning image reconstruction

S Gassenmaier, V Warm, D Nickel, E Weiland… - Cancers, 2023 - mdpi.com
Simple Summary Multi-parametric MRI (mpMRI) of the prostate is one emerging tool for early
detection of clinically-significant cancer. Standard acquisition protocols provide a slice …

Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted …

S Ursprung, J Herrmann, N Joos, E Weiland… - European Journal of …, 2023 - Elsevier
Purpose Routine multiparametric MRI of the prostate reduces overtreatment and increases
sensitivity in the diagnosis of the most common solid cancer in men. However, the capacity …

Deep learning accelerated image reconstruction of fluid-attenuated inversion recovery sequence in brain imaging: reduction of acquisition time and improvement of …

A Estler, TK Hauser, A Mengel, M Brunnée… - Academic …, 2024 - Elsevier
Rationale and Objectives Fluid-attenuated inversion recovery (FLAIR) imaging is playing an
increasingly significant role in the detection of brain metastases with a concomitant increase …

[HTML][HTML] Application of a deep learning algorithm for combined super-resolution and partial fourier reconstruction including time reduction in T1-weighted precontrast …

D Wessling, J Herrmann, S Afat, D Nickel, H Almansour… - Diagnostics, 2022 - mdpi.com
Purpose: The purpose of this study was to test the technical feasibility and the impact on the
image quality of a deep learning-based super-resolution reconstruction algorithm in 1.5 T …

Deep learning k‐space‐to‐image reconstruction facilitates high spatial resolution and scan time reduction in diffusion‐weighted imaging breast MRI

ST Sauer, SA Christner, AM Lois… - Journal of Magnetic …, 2023 - Wiley Online Library
Background For time‐consuming diffusion‐weighted imaging (DWI) of the breast, deep
learning‐based imaging acceleration appears particularly promising. Purpose To …

[HTML][HTML] Enhancing gadoxetic acid–enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques

H Wei, JH Yoon, SK Jeon, JW Choi, J Lee, JH Kim… - European …, 2024 - Springer
Objective To investigate whether a deep learning (DL) controlled aliasing in parallel imaging
results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold …