Jean-François Geschwind Prescience Labs Biography Publications Institution JoVE Articles Jean-François Geschwind has not added a biography. If you are Jean-François Geschwind and would like to personalize this page please email our Author Liaison for assistance. Publications Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept Journal of Vascular and Interventional Radiology : JVIR. 06, 2018 | Pubmed ID: 29548875 Science to Practice: Decrypting the Enigma of Ablation-induced Off-Target Effects-Is Network Pathway Analysis the Final Piece of the Puzzle? Radiology. 02, 2018 | Pubmed ID: 29356646 Characteristics of a New X-Ray Imaging System for Interventional Procedures: Improved Image Quality and Reduced Radiation Dose Cardiovascular and Interventional Radiology. Mar, 2018 | Pubmed ID: 29090348 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? Cardiovascular and Interventional Radiology. Mar, 2018 | Pubmed ID: 29086058 Att förutspå behandlingssvar bild-guidad terapier använder Machine Learning: ett exempel för Trans-arteriell behandling av Hepatocellulär cancer Aaron Abajian1, Nikitha Murali1, Lynn Jeanette Savic1,2, Fabian Max Laage-Gaupp1, Nariman Nezami1, James S. Duncan3, Todd Schlachter1, MingDe Lin4, Jean-François Geschwind5, Julius Chapiro1 1Department of Radiology and Biomedical Imaging, Yale School of Medicine, 2Department of Diagnostic and Interventional Radiology, Universitätsmedizin Charité Berlin, 3Department of Biomedical Engineering, Yale School of Engineering and Applied Science, 4Philips Research North America, 5Prescience Labs JoVE 58382 Medicine Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization JoVE 50795 Medicine
Att förutspå behandlingssvar bild-guidad terapier använder Machine Learning: ett exempel för Trans-arteriell behandling av Hepatocellulär cancer Aaron Abajian1, Nikitha Murali1, Lynn Jeanette Savic1,2, Fabian Max Laage-Gaupp1, Nariman Nezami1, James S. Duncan3, Todd Schlachter1, MingDe Lin4, Jean-François Geschwind5, Julius Chapiro1 1Department of Radiology and Biomedical Imaging, Yale School of Medicine, 2Department of Diagnostic and Interventional Radiology, Universitätsmedizin Charité Berlin, 3Department of Biomedical Engineering, Yale School of Engineering and Applied Science, 4Philips Research North America, 5Prescience Labs JoVE 58382 Medicine
Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization JoVE 50795 Medicine