Patrick Leo
Geciteerd door
Geciteerd door
Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images
P Leo, G Lee, NNC Shih, R Elliott, MD Feldman, A Madabhushi
Journal of medical imaging 3 (4), 047502-047502, 2016
Prostate cancer risk stratification via nondestructive 3D pathology with deep learning–assisted gland analysis
W Xie, NP Reder, C Koyuncu, P Leo, S Hawley, H Huang, C Mao, ...
Cancer research 82 (2), 334-345, 2022
Computationally derived image signature of stromal morphology is prognostic of prostate cancer recurrence following prostatectomy in African American patients
HK Bhargava, P Leo, R Elliott, A Janowczyk, J Whitney, S Gupta, P Fu, ...
Clinical Cancer Research 26 (8), 1915-1923, 2020
Feature-driven local cell graph (FLocK): new computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers
C Lu, C Koyuncu, G Corredor, P Prasanna, P Leo, XX Wang, ...
Medical image analysis 68, 101903, 2021
Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study
P Leo, R Elliott, NNC Shih, S Gupta, M Feldman, A Madabhushi
Scientific reports 8 (1), 14918, 2018
Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI
P Chirra, P Leo, M Yim, BN Bloch, AR Rastinehad, A Purysko, M Rosen, ...
Journal of Medical Imaging 6 (2), 024502-024502, 2019
A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI
L Li, R Shiradkar, P Leo, A Algohary, P Fu, SH Tirumani, A Mahran, ...
EBioMedicine 63, 2021
Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study
M Khorrami, K Bera, P Leo, P Vaidya, P Patil, R Thawani, P Velu, P Rajiah, ...
Lung Cancer 142, 90-97, 2020
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI
P Chirra, P Leo, M Yim, BN Bloch, AR Rastinehad, A Purysko, M Rosen, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 67-78, 2018
T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on …
R Shiradkar, A Panda, P Leo, A Janowczyk, X Farre, N Janaki, L Li, ...
European radiology 31, 1336-1346, 2021
Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome
R Ding, P Prasanna, G Corredor, C Barrera, P Zens, C Lu, P Velu, P Leo, ...
NPJ precision oncology 6 (1), 33, 2022
Computationally derived cribriform area index from prostate cancer hematoxylin and eosin images is associated with biochemical recurrence following radical prostatectomy and is …
P Leo, S Chandramouli, X Farre, R Elliott, A Janowczyk, K Bera, P Fu, ...
European urology focus 7 (4), 722-732, 2021
Computer extracted features from initial H&E tissue biopsies predict disease progression for prostate cancer patients on active surveillance
S Chandramouli, P Leo, G Lee, R Elliott, C Davis, G Zhu, P Fu, JI Epstein, ...
Cancers 12 (9), 2708, 2020
Deep-learning approaches for Gleason grading of prostate biopsies
A Madabhushi, MD Feldman, P Leo
The Lancet Oncology 21 (2), 187-189, 2020
Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study
P Leo, A Janowczyk, R Elliott, N Janaki, K Bera, R Shiradkar, X Farré, ...
NPJ precision oncology 5 (1), 35, 2021
Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images
P Leo, G Lee, A Madabhushi
SPIE Medical Imaging, 97910I-97910I-13, 2016
Computational image features of immune architecture is associated with clinical benefit and survival in gynecological cancers across treatment modalities
S Azarianpour, G Corredor, K Bera, P Leo, P Fu, P Toro, A Joehlin-Price, ...
Journal for ImmunoTherapy of Cancer 10 (2), 2022
Clinical deployment of AI for prostate cancer diagnosis
A Janowczyk, P Leo, MA Rubin
The Lancet Digital Health 2 (8), e383-e384, 2020
Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers
N Braman, P Prasanna, K Bera, M Alilou, M Khorrami, P Leo, M Etesami, ...
Clinical Cancer Research 28 (20), 4410-4424, 2022
Machine learning to predict risk of relapse using cytologic image markers in patients with acute myeloid leukemia posthematopoietic cell transplantation
S Arabyarmohammadi, P Leo, VS Viswanathan, A Janowczyk, G Corredor, ...
JCO Clinical Cancer Informatics 6 (1), e2100156, 2022
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