Patrick Leo

Medicine · Health Sciences

18h-index873citations121works0.32yr avg
OpenAlex↗ORCID↗Google Scholar↗

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Research Topics

Radiomics and Machine Learning in Medical Imaging(84), AI in cancer detection(70), Prostate Cancer Diagnosis and Treatment(27), Prostate Cancer Treatment and Research(18), Advanced X-ray and CT Imaging(17)

Publications121 total

Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Computational Morphological Assessment of Bladder Cancer Tissue Is Prognostic of Recurrence and Overall Survival Following Transurethral Resection
JCO Clinical Cancer Informatics·2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Abstract 2458: Prediction of atezolizumab benefit in NSCLC by computational pathology: Retrospective validation in a phase III trial
Cancer Research·2025
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2025Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2024Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2024Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2024Open Access
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2024Open Access
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Frequent Co-authors

Anant Madabhushi(49), Andrew Janowczyk(23), Pingfu Fu(22), Robin Elliott(15), Kaustav Bera(14), Can Koyuncu(11), Nicholas P. Reder(10), Adam K. Glaser(10), Jonathan Liu(10), Michael D. Feldman(10), Weisi Xie(9), Chenyi Mao(9), Nadia Postupna(9), Sanjay Gupta(9), Rakesh Shiradkar(9), Soyoung Kang(8), Kevin W. Bishop(8), Lindsey A. Barner(8), Joshua C. Vaughan(8), Andrei S. Purysko(8)