Autor: "Schobert, Isabel" - OpacWWW

Skocz do pozycji: 1.

Tytuł:: Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model.
Autorzy:: Doemel, Luzie A.
Santana, Jessica G.
Savic, Lynn J.
Gaupp, Fabian M. Laage
Borde, Tabea
Petukhova-Greenstein, Alexandra
Kucukkaya, Ahmet S.
Schobert, Isabel T.
Hamm, Charlie A.
Gebauer, Bernhard
Walsh, John J.
Rexha, Irvin
Hyder, Fahmeed
Lin, MingDe
Madoff, David C.
Schlachter, Todd
Chapiro, Julius
Coman, Daniel; Pokaż więcej
Temat:: BIOLOGICAL models
LIVER tumors
VEGETABLE oils
DOXORUBICIN
ANIMAL experimentation
CHEMOEMBOLIZATION
CELL physiology
RABBITS
RESEARCH funding
HEPATOCELLULAR carcinoma
Źródło:: European Radiology; Apr2022, Vol. 32 Issue 4, p2437-2447, 11p, 3 Color Photographs, 1 Diagram, 1 Chart, 2 Graphs

Czasopismo naukowe

Szczegóły

Skocz do pozycji: 2.

Tytuł:: Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver.
Autorzy:: Oestmann, Paula M.
Wang, Clinton J.
Savic, Lynn J.
Hamm, Charlie A.
Stark, Sophie
Schobert, Isabel
Gebauer, Bernhard
Schlachter, Todd
Lin, MingDe
Weinreb, Jeffrey C.
Batra, Ramesh
Mulligan, David
Zhang, Xuchen
Duncan, James S.
Chapiro, Julius; Pokaż więcej
Temat:: CONTRAST-enhanced magnetic resonance imaging
HEPATOCELLULAR carcinoma
DEEP learning
CONVOLUTIONAL neural networks
SIGNAL convolution
DIAGNOSIS
Źródło:: European Radiology; Jul2021, Vol. 31 Issue 7, p4981-4990, 10p, 1 Black and White Photograph, 2 Diagrams, 4 Charts, 2 Graphs

Czasopismo naukowe

Szczegóły

Skocz do pozycji: 3.

Tytuł:: Prospective study of Lipiodol distribution as an imaging marker for doxorubicin pharmacokinetics during conventional transarterial chemoembolization of liver malignancies.
Autorzy:: Savic, Lynn J.
Chapiro, Julius
Funai, Eliot
Bousabarah, Khaled
Schobert, Isabel T.
Isufi, Edvin
Geschwind, Jean-Francois H.
Stark, Sophie
He, Ping
Rudek, Michelle A.
Perez Lozada, Juan Carlos
Ayyagari, Rajasekhara
Pollak, Jeffrey
Schlachter, Todd; Pokaż więcej
Temat:: CHEMOEMBOLIZATION
DOXORUBICIN
PHARMACOKINETICS
LONGITUDINAL method
FISHER exact test
Źródło:: European Radiology; May2021, Vol. 31 Issue 5, p3002-3014, 13p, 1 Black and White Photograph, 5 Charts, 3 Graphs

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Szczegóły

Skocz do pozycji: 4.

Tytuł:: Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning.
Autorzy:: Bousabarah, Khaled
Letzen, Brian
Tefera, Jonathan
Savic, Lynn
Schobert, Isabel
Schlachter, Todd
Staib, Lawrence H.
Kocher, Martin
Chapiro, Julius
Lin, MingDe; Pokaż więcej
Temat:: CONTRAST-enhanced magnetic resonance imaging
HEPATOCELLULAR carcinoma
CONVOLUTIONAL neural networks
DEEP learning
CONTRAST-enhanced ultrasound
DIFFUSION magnetic resonance imaging
MACHINE learning
RANDOM forest algorithms
Źródło:: Abdominal Radiology; 2021, Vol. 46 Issue 1, p216-225, 10p

Czasopismo naukowe

Szczegóły

Skocz do pozycji: 5.

Tytuł:: Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE.
Autorzy:: Schobert, Isabel Theresa
Savic, Lynn Jeanette
Chapiro, Julius
Bousabarah, Khaled
Chen, Evan
Laage-Gaupp, Fabian
Tefera, Jonathan
Nezami, Nariman
Lin, MingDe
Pollak, Jeffrey
Schlachter, Todd; Pokaż więcej
Temat:: CONTRAST-enhanced magnetic resonance imaging
BLOOD cell count
TUMOR growth
CHEMOEMBOLIZATION
TUMORS
Źródło:: European Radiology; Oct2020, Vol. 30 Issue 10, p5663-5673, 11p, 1 Black and White Photograph, 1 Diagram, 5 Charts, 3 Graphs

Czasopismo naukowe

Szczegóły

Skocz do pozycji: 6.

Tytuł:: Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.
Autorzy:: Wang, Clinton J.
Hamm, Charlie A.
Savic, Lynn J.
Ferrante, Marc
Schobert, Isabel
Schlachter, Todd
Lin, MingDe
Weinreb, Jeffrey C.
Duncan, James S.
Chapiro, Julius
Letzen, Brian; Pokaż więcej
Temat:: DEEP learning
LIVER cancer
ARTIFICIAL neural networks
TUMOR diagnosis
BONE tumors
PROOF of concept
Źródło:: European Radiology; Jul2019, Vol. 29 Issue 7, p3348-3357, 10p, 2 Diagrams, 6 Charts

Czasopismo naukowe

Szczegóły

Skocz do pozycji: 7.

Tytuł:: Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
Autorzy:: Hamm, Charlie A.
Wang, Clinton J.
Savic, Lynn J.
Ferrante, Marc
Schobert, Isabel
Schlachter, Todd
Lin, MingDe
Duncan, James S.
Weinreb, Jeffrey C.
Chapiro, Julius
Letzen, Brian; Pokaż więcej
Temat:: DEEP learning
LIVER cancer
TUMOR diagnosis
ARTIFICIAL neural networks
NEURAL development
Źródło:: European Radiology; Jul2019, Vol. 29 Issue 7, p3338-3347, 10p, 3 Diagrams, 4 Charts, 1 Graph

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