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European Radiology
|
December 30, 2011
Lung neovascularity in pulmonary arterial hypertension associated with congenital heart defects and idiopathic pulmonary arterial hypertension: study of 198 patients
Cecilia Modolon, Domenico Attinà, Francesco Buia, et al.
Respiration; International Review of Thoracic Diseases
|
January 18, 2022
Spontaneous Evolution of COVID-19 Lung Sequelae: Results from a Double-Step Follow-Up
Martina Ferioli, Irene Prediletto, Serena Bensai, et al.
La Radiologia Medica
|
December 4, 2013
Pulmonary veno-occlusive disease: the role of CT
Giangaspare Mineo, Domenico Attinà, Martina Mughetti, et al.
Cancers
|
September 28, 2023
A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study
Camelia Alexandra Coada, Miriam Santoro, Vladislav Zybin, et al.
Cancers
|
April 27, 2024
Machine Learning Applied to Pre-Operative Computed-Tomography-Based Radiomic Features Can Accurately Differentiate Uterine Leiomyoma from Leiomyosarcoma: A Pilot Study
Miriam Santoro, Vladislav Zybin, Camelia Alexandra Coada, et al.
Page
of 2
Search research articles
Search
Showing results (11-20 of 15) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 15 results.
European Radiology
|
December 30, 2011
Lung neovascularity in pulmonary arterial hypertension associated with congenital heart defects and idiopathic pulmonary arterial hypertension: study of 198 patients
Cecilia Modolon, Domenico Attinà, Francesco Buia, et al.
Respiration; International Review of Thoracic Diseases
|
January 18, 2022
Spontaneous Evolution of COVID-19 Lung Sequelae: Results from a Double-Step Follow-Up
Martina Ferioli, Irene Prediletto, Serena Bensai, et al.
La Radiologia Medica
|
December 4, 2013
Pulmonary veno-occlusive disease: the role of CT
Giangaspare Mineo, Domenico Attinà, Martina Mughetti, et al.
Cancers
|
September 28, 2023
A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study
Camelia Alexandra Coada, Miriam Santoro, Vladislav Zybin, et al.
Cancers
|
April 27, 2024
Machine Learning Applied to Pre-Operative Computed-Tomography-Based Radiomic Features Can Accurately Differentiate Uterine Leiomyoma from Leiomyosarcoma: A Pilot Study
Miriam Santoro, Vladislav Zybin, Camelia Alexandra Coada, et al.
Page
of 2