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Jean Francois H Geschwind

Johns Hopkins University
Yale University
Johns Hopkins University School of Medicine

315

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12910

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Predicting Patient Survival in Oncology: Is it Time to Take a New Path?

2020 CardioVascular and Interventional Radiology
- Nariman Nezami
- Jean Francois H Geschwind
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Idarubicin-Loaded ONCOZENE Drug-Eluting Bead Chemoembolization in a Rabbit Liver Tumor Model: Investigating Safety, Therapeutic Efficacy, and Effects on Tumor Microenvironment.

2020 Journal of Vascular and Interventional Radiology
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Prospective study of Lipiodol distribution as an imaging marker for doxorubicin pharmacokinetics during conventional transarterial chemoembolization of liver malignancies.

2020 European Radiology
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Combining Chemotherapy and Radiation Therapy for Liver Cancer: Is the Solution an Intraarterial Approach?

2020 CardioVascular and Interventional Radiology
- Jean Francois H Geschwind
- Nariman Nezami
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Lipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer

2020 Translational Oncology
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Theranostic application of lipiodol for transarterial chemoembolization in a VX2 rabbit liver tumor model

2019 Theranostics
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Tools from the World of Artificial Intelligence in Interventional Oncology: Be Careful What You Wish For

2019 Journal of Vascular and Interventional Radiology
- Jean Francois H Geschwind
- Howard S. Hochster
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Which Criteria Applied in Multi-Phasic CT Can Predict Early Tumor Response in Patients with Hepatocellular Carcinoma Treated Using Conventional TACE: RECIST, mRECIST, EASL or qEASL?

2018 CardioVascular and Interventional Radiology
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Abstract No. 517 Conventional vs. drug-eluting beads TACE for hepatocellular carcinoma: a propensity score–weighted comparison

2018 Journal of Vascular and Interventional Radiology
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

2018 Journal of Visualized Experiments
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