| 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 | 73 | 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 | 42 | 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 | 42 | 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 | 41 | 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 | 36 | 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 | 35 | 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 | 34 | 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 | 34 | 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 | 31 | 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 | 28 | 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 | 18 | 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 | 17 | 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 | 16 | 2020 |
| Deep-learning approaches for Gleason grading of prostate biopsies A Madabhushi, MD Feldman, P Leo The Lancet Oncology 21 (2), 187-189, 2020 | 16 | 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 | 15 | 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 | 11 | 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 | 9 | 2022 |
| Clinical deployment of AI for prostate cancer diagnosis A Janowczyk, P Leo, MA Rubin The Lancet Digital Health 2 (8), e383-e384, 2020 | 9 | 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 | 6 | 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 | 5 | 2022 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechGeverifieerd e-mailadres voor emory.edu
