T2-weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical Recurrence
Savannah Duenweg(Medical College of Wisconsin), Peter S. LaViolette(Medical College of Wisconsin), Biprojit Nath(Medical College of Wisconsin), John D. Bukowy(Medical College of Wisconsin), Aleksandra Winiarz(Medical College of Wisconsin), Kenneth Jacobsohn(Medical College of Wisconsin), Stephanie Vincent-Sheldon(Medical College of Wisconsin), Samuel Bobholz(Medical College of Wisconsin), Allison Lowman(Medical College of Wisconsin), Kenneth A. Iczkowski(University of California, Davis), Michael Barrett(Medical College of Wisconsin), Margaret Stebbins(Medical College of Wisconsin)
Cited by 9
Related Papers
Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia
|Neuron|2009|1k
Classification of renal cell carcinoma
|Cancer|1997|878
The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma
|The American Journal of Surgical Pathology|2020|705
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
|The Lancet Oncology|2020|631
Functional Alterations in Memory Networks in Early Alzheimer’s Disease
|NeuroMolecular Medicine|2010|608