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Wyszukujesz frazę ""Gilhuijs, Kenneth G A"" wg kryterium: Autor


Wyświetlanie 1-13 z 13
Tytuł:
Monitoring tumor response to neoadjuvant chemotherapy using MRI and 18F-FDG PET/CT in breast cancer subtypes.
Autorzy:
Schmitz AMT; Department of Radiology, The Netherlands Cancer Institute, Amsterdam, Netherlands.; Department of Radiology / Image Sciences Institute; University Medical Center Utrecht, Utrecht, Netherlands.
Teixeira SC; Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Pengel KE; Department of Radiology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Loo CE; Department of Radiology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Vogel WV; Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Wesseling J; Department of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Rutgers EJT; Department of Surgery, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Valdés Olmos RA; Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Sonke GS; Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Rodenhuis S; Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Vrancken Peeters MJTFD; Department of Surgery, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Gilhuijs KGA; Department of Radiology, The Netherlands Cancer Institute, Amsterdam, Netherlands.; Department of Radiology / Image Sciences Institute; University Medical Center Utrecht, Utrecht, Netherlands.
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Źródło:
PloS one [PLoS One] 2017 May 22; Vol. 12 (5), pp. e0176782. Date of Electronic Publication: 2017 May 22 (Print Publication: 2017).
Typ publikacji:
Comparative Study; Journal Article
MeSH Terms:
Breast Neoplasms/*diagnostic imaging
Breast Neoplasms/*drug therapy
Fluorodeoxyglucose F18/*metabolism
Magnetic Resonance Imaging/*methods
Positron Emission Tomography Computed Tomography/*methods
Radiopharmaceuticals/*metabolism
Adult ; Aged ; Breast Neoplasms/pathology ; Drug Therapy ; Female ; Humans ; Middle Aged ; Multimodal Imaging/methods ; Neoadjuvant Therapy ; Prospective Studies ; Receptor, ErbB-2/genetics ; Receptors, Estrogen/genetics ; Treatment Outcome
Czasopismo naukowe
Tytuł:
Combined use of ¹⁸F-FDG PET/CT and MRI for response monitoring of breast cancer during neoadjuvant chemotherapy.
Autorzy:
Pengel KE; Department of Radiology, The Netherlands Cancer Institute, PO Box 90203, 1006 BE, Amsterdam, The Netherlands.
Koolen BB
Loo CE
Vogel WV
Wesseling J
Lips EH
Rutgers EJ
Valdés Olmos RA
Vrancken Peeters MJ
Rodenhuis S
Gilhuijs KG
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Źródło:
European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2014 Aug; Vol. 41 (8), pp. 1515-24. Date of Electronic Publication: 2014 Apr 29.
Typ publikacji:
Comparative Study; Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Magnetic Resonance Imaging*
Multimodal Imaging*
Positron-Emission Tomography*
Tomography, X-Ray Computed*
Breast Neoplasms/*diagnostic imaging
Carcinoma, Ductal/*diagnostic imaging
Adult ; Breast Neoplasms/diagnosis ; Breast Neoplasms/drug therapy ; Carcinoma, Ductal/diagnosis ; Carcinoma, Ductal/drug therapy ; Drug Therapy, Combination ; Female ; Fluorodeoxyglucose F18 ; Humans ; Middle Aged ; Neoadjuvant Therapy ; Radiopharmaceuticals
Czasopismo naukowe
Tytuł:
Deep Learning‐Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi‐Institutional Cohort Study.
Autorzy:
Janse, Markus H. A.
Janssen, Liselore M.
van der Velden, Bas H. M.
Moman, Maaike R.
Wolters‐van der Ben, Elian J. M.
Kock, Marc C. J. M.
Viergever, Max A.
van Diest, Paul J.
Gilhuijs, Kenneth G. A.
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Temat:
METASTATIC breast cancer
CONVOLUTIONAL neural networks
MAGNETIC resonance imaging
RECEIVER operating characteristic curves
SIGNAL convolution
NEOADJUVANT chemotherapy
Źródło:
Journal of Magnetic Resonance Imaging; Dec2023, Vol. 58 Issue 6, p1739-1749, 11p
Czasopismo naukowe
Tytuł:
Knowledge‐based and deep learning‐based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.
Autorzy:
Verburg, Erik
Wolterink, Jelmer M.
Waard, Stephanie N.
Išgum, Ivana
Gils, Carla H.
Veldhuis, Wouter B.
Gilhuijs, Kenneth G. A.
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Temat:
MAGNETIC resonance mammography
MAGNETIC resonance imaging
BREAST
PECTORALIS muscle
ADIPOSE tissues
Źródło:
Medical Physics; Oct2019, Vol. 46 Issue 10, p4405-4416, 12p
Czasopismo naukowe
    Wyświetlanie 1-13 z 13

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