Detalhe da pesquisa
1.
New diagnostic approach of the different types of isolated craniosynostosis.
Eur J Pediatr
; 180(4): 1211-1217, 2021 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-33151409
2.
Quantification of Severity of Unilateral Coronal Synostosis.
Cleft Palate Craniofac J
; 58(7): 832-837, 2021 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33078622
3.
Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI.
Eur Radiol
; 30(12): 6582-6592, 2020 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-32594208
4.
Introducing a new method for classifying skull shape abnormalities related to craniosynostosis.
Eur J Pediatr
; 179(10): 1569-1577, 2020 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-32303825
5.
Feasibility and relevance of discrete vasculature modeling in routine hyperthermia treatment planning.
Int J Hyperthermia
; 36(1): 801-811, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31450989
6.
Accurate 3D temperature dosimetry during hyperthermia therapy by combining invasive measurements and patient-specific simulations.
Int J Hyperthermia
; 31(6): 686-92, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26134740
7.
Temperature simulations in hyperthermia treatment planning of the head and neck region: rigorous optimization of tissue properties.
Strahlenther Onkol
; 190(12): 1117-24, 2014 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-25015425
8.
Deep learning for improving ZTE MRI images in free breathing.
Magn Reson Imaging
; 98: 97-104, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36681310
9.
Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics.
Cancers (Basel)
; 14(1)2021 Dec 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-35008177
10.
A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade.
Diagnostics (Basel)
; 11(2)2021 Feb 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-33671533
11.
Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications.
Cancers (Basel)
; 12(6)2020 Jun 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-32560558
12.
Groupwise Multichannel Image Registration.
IEEE J Biomed Health Inform
; 23(3): 1171-1180, 2019 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-29994230
13.
Health differences between adults with and without intellectual disabilities at the internal medicine department: A first step to improve awareness of intellectual disabilities among healthcare professionals.
Eur J Intern Med
; 106: 154-157, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36064637
14.
MR angiography of tumor-related vasculature: from the clinic to the micro-environment.
Radiographics
; 25 Suppl 1: S85-97; discussion S97-8, 2005 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-16227499
15.
Automatic tissue segmentation of head and neck MR images for hyperthermia treatment planning.
Phys Med Biol
; 60(16): 6547-62, 2015 Aug 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-26267068
16.
MRI integration into treatment planning of head and neck tumors: Can patient immobilization be avoided?
Radiother Oncol
; 115(2): 191-4, 2015 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-25866029
17.
Three-dimensional position changes of the midface following Le Fort III advancement in syndromic craniosynostosis.
J Craniomaxillofac Surg
; 43(6): 820-4, 2015 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-26026886
18.
Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review.
PLoS One
; 9(10): e110300, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25330171
19.
CT-based patient modeling for head and neck hyperthermia treatment planning: manual versus automatic normal-tissue-segmentation.
Radiother Oncol
; 111(1): 158-63, 2014 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-24631148
20.
Feasibility of multimodal deformable registration for head and neck tumor treatment planning.
Int J Radiat Oncol Biol Phys
; 90(1): 85-93, 2014 Sep 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-25015199