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SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data.
Avram, Oren; Durmus, Berkin; Rakocz, Nadav; Corradetti, Giulia; An, Ulzee; Nitalla, Muneeswar G; Rudas, Akos; Wakatsuki, Yu; Hirabayashi, Kazutaka; Velaga, Swetha; Tiosano, Liran; Corvi, Federico; Verma, Aditya; Karamat, Ayesha; Lindenberg, Sophiana; Oncel, Deniz; Almidani, Louay; Hull, Victoria; Fasih-Ahmad, Sohaib; Esmaeilkhanian, Houri; Wykoff, Charles C; Rahmani, Elior; Arnold, Corey W; Zhou, Bolei; Zaitlen, Noah; Gronau, Ilan; Sankararaman, Sriram; Chiang, Jeffrey N; Sadda, Srinivas R; Halperin, Eran.
Affiliation
  • Avram O; Department of Computational Medicine, University of California Los Angeles, Los Angeles, California, United States of America.
  • Durmus B; Department of Computer Science, University of California Los Angeles, Los Angeles, California, United States of America.
  • Rakocz N; Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles, Los Angeles, California, United States of America.
  • Corradetti G; Department of Computer Science, University of California Los Angeles, Los Angeles, California, United States of America.
  • An U; Department of Computer Science, University of California Los Angeles, Los Angeles, California, United States of America.
  • Nitalla MG; Doheny Eye Institute, Pasadena, California, United States of America.
  • Rudas A; Department of Ophthalmology, University of California Los Angeles, Los Angeles, California, United States of America.
  • Wakatsuki Y; Department of Computational Medicine, University of California Los Angeles, Los Angeles, California, United States of America.
  • Hirabayashi K; Department of Computer Science, University of California Los Angeles, Los Angeles, California, United States of America.
  • Velaga S; Doheny Eye Institute, Pasadena, California, United States of America.
  • Tiosano L; Department of Ophthalmology, University of California Los Angeles, Los Angeles, California, United States of America.
  • Corvi F; Department of Computational Medicine, University of California Los Angeles, Los Angeles, California, United States of America.
  • Verma A; Doheny Eye Institute, Pasadena, California, United States of America.
  • Karamat A; Doheny Eye Institute, Pasadena, California, United States of America.
  • Lindenberg S; Doheny Eye Institute, Pasadena, California, United States of America.
  • Oncel D; Doheny Eye Institute, Pasadena, California, United States of America.
  • Almidani L; Doheny Eye Institute, Pasadena, California, United States of America.
  • Hull V; Doheny Eye Institute, Pasadena, California, United States of America.
  • Fasih-Ahmad S; Department of Ophthalmology and Visual Sciences, University of Louisville, Kentucky, United States of America.
  • Esmaeilkhanian H; Doheny Eye Institute, Pasadena, California, United States of America.
  • Wykoff CC; Doheny Eye Institute, Pasadena, California, United States of America.
  • Rahmani E; Doheny Eye Institute, Pasadena, California, United States of America.
  • Arnold CW; Doheny Eye Institute, Pasadena, California, United States of America.
  • Zhou B; Doheny Eye Institute, Pasadena, California, United States of America.
  • Zaitlen N; Doheny Eye Institute, Pasadena, California, United States of America.
  • Gronau I; Doheny Eye Institute, Pasadena, California, United States of America.
  • Sankararaman S; Retina Consultants of Texas, Retina Consultants of America, Houston, Texas.
  • Chiang JN; Department of Computational Medicine, University of California Los Angeles, Los Angeles, California, United States of America.
  • Sadda SR; Departments of Radiology, University of California Los Angeles, Los Angeles, California, United States of America.
  • Halperin E; Departments of Bioengineering, University of California Los Angeles, Los Angeles, California, United States of America.
Res Sq ; 2023 Nov 21.
Article in En | MEDLINE | ID: mdl-38045283

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Res Sq Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Res Sq Year: 2023 Document type: Article Affiliation country: Country of publication: