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Radiology
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November 21, 2023
Multiparametric MRI-based 5-year Risk Prediction Model for Biochemical Recurrence of Prostate Cancer after Radical Prostatectomy
Stefano Luzzago, Alberto Colombo, Francesco A Mistretta, et al.
Insights Into Imaging
|
August 17, 2022
Quality assurance for automatically generated contours with additional deep learning
Lars Johannes Isaksson, Paul Summers, Abhir Bhalerao, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 30, 2014
Proteolytic cleavage of Ser52Pro variant transthyretin triggers its amyloid fibrillogenesis
P Patrizia Mangione, Riccardo Porcari, Julian D Gillmore, et al.
La Radiologia Medica
|
August 3, 2024
The prognostic role of MRI-based radiomics in tongue carcinoma: a multicentric validation study
Marta Tagliabue, Francesca Ruju, Chiara Mossinelli, et al.
BMC Medical Imaging
|
February 11, 2023
Comparison of automated segmentation techniques for magnetic resonance images of the prostate
Lars Johannes Isaksson, Matteo Pepa, Paul Summers, et al.
Scientific Reports
|
April 22, 2017
A specific nanobody prevents amyloidogenesis of D76N β<sub>2</sub>-microglobulin in vitro and modifies its tissue distribution in vivo
Sara Raimondi, Riccardo Porcari, P Patrizia Mangione, et al.
European Radiology
|
August 28, 2020
MRI-based radiomics signature for localized prostate cancer: a new clinical tool for cancer aggressiveness prediction? Sub-study of prospective phase II trial on ultra-hypofractionated radiotherapy (AIRC IG-13218)
Simone Giovanni Gugliandolo, Matteo Pepa, Lars Johannes Isaksson, et al.
European Radiology
|
March 20, 2024
Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models
Giulia Marvaso, Lars Johannes Isaksson, Mattia Zaffaroni, et al.
Melanoma Research
|
September 8, 2020
MC1R variants and cutaneous melanoma risk according to histological type, body site, and Breslow thickness: a pooled analysis from the M-SKIP project
Saverio Caini, Sara Gandini, Francesca Botta, et al.
International Journal of Cancer
|
June 12, 2014
MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: a pooled-analysis from the M-SKIP project
Elena Pasquali, José C García-Borrón, Maria Concetta Fargnoli, et al.
Page
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Search research articles
Search
Showing results (171-180 of 184) with videos related to
Sort By:
Page
of 19
Radiology
|
November 21, 2023
Multiparametric MRI-based 5-year Risk Prediction Model for Biochemical Recurrence of Prostate Cancer after Radical Prostatectomy
Stefano Luzzago, Alberto Colombo, Francesco A Mistretta, et al.
Insights Into Imaging
|
August 17, 2022
Quality assurance for automatically generated contours with additional deep learning
Lars Johannes Isaksson, Paul Summers, Abhir Bhalerao, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 30, 2014
Proteolytic cleavage of Ser52Pro variant transthyretin triggers its amyloid fibrillogenesis
P Patrizia Mangione, Riccardo Porcari, Julian D Gillmore, et al.
La Radiologia Medica
|
August 3, 2024
The prognostic role of MRI-based radiomics in tongue carcinoma: a multicentric validation study
Marta Tagliabue, Francesca Ruju, Chiara Mossinelli, et al.
BMC Medical Imaging
|
February 11, 2023
Comparison of automated segmentation techniques for magnetic resonance images of the prostate
Lars Johannes Isaksson, Matteo Pepa, Paul Summers, et al.
Scientific Reports
|
April 22, 2017
A specific nanobody prevents amyloidogenesis of D76N β<sub>2</sub>-microglobulin in vitro and modifies its tissue distribution in vivo
Sara Raimondi, Riccardo Porcari, P Patrizia Mangione, et al.
European Radiology
|
August 28, 2020
MRI-based radiomics signature for localized prostate cancer: a new clinical tool for cancer aggressiveness prediction? Sub-study of prospective phase II trial on ultra-hypofractionated radiotherapy (AIRC IG-13218)
Simone Giovanni Gugliandolo, Matteo Pepa, Lars Johannes Isaksson, et al.
European Radiology
|
March 20, 2024
Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models
Giulia Marvaso, Lars Johannes Isaksson, Mattia Zaffaroni, et al.
Melanoma Research
|
September 8, 2020
MC1R variants and cutaneous melanoma risk according to histological type, body site, and Breslow thickness: a pooled analysis from the M-SKIP project
Saverio Caini, Sara Gandini, Francesca Botta, et al.
International Journal of Cancer
|
June 12, 2014
MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: a pooled-analysis from the M-SKIP project
Elena Pasquali, José C García-Borrón, Maria Concetta Fargnoli, et al.
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of 19