Leonardo Kayat Bittencourt

Associate Professor, Vice-Chair of Innovation

Case Western Reserve University School of Medicine

United States

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Dr. Leonardo Kayat Bittencourt is an Associate Professor and Vice-Chair of Innovation at Case Western Reserve University School of Medicine, USA. His research focuses on advanced imaging techniques, particularly in the realm of prostate cancer diagnostics and treatment, as highlighted in his recent publications. He explores the integration of artificial intelligence in medical imaging and the evaluation of conditions such as endometriosis and bladder tissue properties.

Articles (16)

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2025

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Junichi Tokuda

Associate Professor of Radiology

Brigham and Women's Hospital and Harvard Medical School

UNITED STATES

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Agata Exner

Henry Willson Payne Professor

Case Western Reserve University

UNITED STATES

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Verena Obmann

Head of Department

Luzerner Kantonsspital

SWITZERLAND

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Leonardo Kayat Bittencourt

Research Interests

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Articles (16)

Population-Specific Radiomics From Biparametric Magnetic Resonance Imaging Improves Prostate Cancer Risk Stratification in African American Men

Real-World Performance of MRI-TRUS Fusion Biopsy in a Canadian Tertiary Centre: What Drives a Positive Diagnosis?

Multiparametric MR Urethrography: Dynamic Comprehensive Evaluation of the Male Urethra

Quantitative assessment of bladder tissue properties using magnetic resonance fingerprinting: a pilot feasibility study in healthy volunteers

Multispecies comparative prostate anatomy by imaging: Implications for experimental models of prostatic disease

Emerging and anticipated innovations in prostate cancer MRI and their impact on patient care

Postoperative Imaging of Endometriosis

Artificial intelligence applications in prostate cancer

Deep infiltrating endometriosis: cine magnetic resonance imaging in the evaluation of uterine contractility

Magnetic resonance imaging of the urethra

Multicenter Repeatability and Reproducibility of MR Fingerprinting in Phantoms and in Prostatic Tissue

Risk-based MRI-directed diagnostic pathway outperforms non-risk-based pathways in suspected prostate cancer biopsy-naïve men: a large cohort validation study

Seamless Integration of Artificial Intelligence Into the Clinical Environment: Our Experience With a Novel Pneumothorax Detection Artificial Intelligence Algorithm

Male Pelvic Cysts: A Didactic Diagnostic Approach

Pitfalls in Prostate MRI Interpretation: A Pictorial Review

Practical recommendations for the safe use of gadolinium in magnetic resonance imaging: a Delphi expert panel study

Collaborators (8)

Daniel Costa

Anant Madabhushi

Pingfu Fu

Felipe Berg

James P. Basilion

Junichi Tokuda

Agata Exner

Verena Obmann

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