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Technology in Cancer Research & Treatment
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May 25, 2021
Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach
Rachel Grossman, Oz Haim, Shani Abramov, et al.
Archives of Gynecology and Obstetrics
|
May 7, 2023
Risk factors for maternal complications following uterine rupture: a 12-year single-center experience
Uri Amikam, Alyssa Hochberg, Shani Abramov, et al.
International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics
|
October 11, 2023
Perinatal outcomes following uterine rupture during a trial of labor after cesarean: A 12-year single-center experience
Uri Amikam, Alyssa Hochberg, Roy Segal, et al.
Journal of Neuro-Oncology
|
February 4, 2022
Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases
Oz Haim, Shani Abramov, Ben Shofty, et al.
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Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Technology in Cancer Research & Treatment
|
May 25, 2021
Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach
Rachel Grossman, Oz Haim, Shani Abramov, et al.
Archives of Gynecology and Obstetrics
|
May 7, 2023
Risk factors for maternal complications following uterine rupture: a 12-year single-center experience
Uri Amikam, Alyssa Hochberg, Shani Abramov, et al.
International Journal of Gynaecology and Obstetrics: the Official Organ of the International Federation of Gynaecology and Obstetrics
|
October 11, 2023
Perinatal outcomes following uterine rupture during a trial of labor after cesarean: A 12-year single-center experience
Uri Amikam, Alyssa Hochberg, Roy Segal, et al.
Journal of Neuro-Oncology
|
February 4, 2022
Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases
Oz Haim, Shani Abramov, Ben Shofty, et al.
Page
of 1