Detalhe da pesquisa
1.
Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach.
Eur Radiol;
32(1): 690-701, 2022 Jan.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34170365
2.
The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer.
Eur Radiol;
31(2): 834-846, 2021 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32851450
3.
Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapy.
PLoS One;
19(1): e0296253, 2024.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38180971
4.
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow.
Int J Comput Assist Radiol Surg;
2024 May 30.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38814528
5.
Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics.
Insights Imaging;
15(1): 124, 2024 Jun 03.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38825600
6.
Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study.
Diagnostics (Basel);
13(20)2023 Oct 14.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37892030
7.
DTI segmentation via the combined analysis of connectivity maps and tensor distances.
Neuroimage;
60(2): 1025-35, 2012 Apr 02.
Artigo
em Inglês
| MEDLINE
| ID: mdl-22293133
8.
Workflow-centred evaluation of an automatic lesion tracking software for chemotherapy monitoring by CT.
Eur Radiol;
22(12): 2759-67, 2012 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-22744620
9.
Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy.
Cancers (Basel);
14(12)2022 Jun 17.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35740659
10.
Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation.
Cancers (Basel);
14(3)2022 Jan 29.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35158980
11.
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Med Image Anal;
82: 102605, 2022 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36156419
12.
CNN-based lung CT registration with multiple anatomical constraints.
Med Image Anal;
72: 102139, 2021 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34216959
13.
MRI-based radiomic feature analysis of end-stage liver disease for severity stratification.
Int J Comput Assist Radiol Surg;
16(3): 457-466, 2021 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33646521
14.
The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples. / Die Internationale Radiomics-Plattform eine Initiative der Deutschen und Österreichischen Röntgengesellschaften Erste Anwendungsbeispiele.
Rofo;
193(3): 276-288, 2021 Mar.
Artigo
em Inglês, Alemão
| MEDLINE
| ID: mdl-33242898
15.
Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer.
Cancers (Basel);
13(22)2021 Nov 16.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34830885
16.
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Res Sq;
2021 Jun 04.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34100010
17.
State of the art in computer-assisted planning, intervention, and assessment of liver-tumor ablation.
Crit Rev Biomed Eng;
38(1): 31-52, 2010.
Artigo
em Inglês
| MEDLINE
| ID: mdl-21175402
18.
Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contours.
J Med Imaging (Bellingham);
7(6): 064001, 2020 Nov.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33195733
19.
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.
Sci Rep;
8(1): 15497, 2018 10 19.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30341319
20.
Role of CT Density in PET/CT-Based Assessment of Lymphoma.
Mol Imaging Biol;
20(4): 641-649, 2018 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29270848