| Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases A Janowczyk, A Madabhushi Journal of pathology informatics 7 (1), 29, 2016 | 1376 | 2016 |
| HistoQC: an open-source quality control tool for digital pathology slides A Janowczyk, R Zuo, H Gilmore, M Feldman, A Madabhushi JCO clinical cancer informatics 3, 1-7, 2019 | 278 | 2019 |
| Stain normalization using sparse autoencoders (StaNoSA): application to digital pathology A Janowczyk, A Basavanhally, A Madabhushi Computerized Medical Imaging and Graphics 57, 50-61, 2017 | 223 | 2017 |
| Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images X Wang, A Janowczyk, Y Zhou, R Thawani, P Fu, K Schalper, V Velcheti, ... Scientific reports 7 (1), 13543, 2017 | 147 | 2017 |
| Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers C Lu, D Romo-Bucheli, X Wang, A Janowczyk, S Ganesan, H Gilmore, ... Laboratory investigation 98 (11), 1438-1448, 2018 | 143 | 2018 |
| Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains CP Jayapandian, Y Chen, AR Janowczyk, MB Palmer, CA Cassol, ... Kidney international 99 (1), 86-101, 2021 | 134 | 2021 |
| A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue JJ Nirschl, A Janowczyk, EG Peyster, R Frank, KB Margulies, ... PloS one 13 (4), e0192726, 2018 | 133 | 2018 |
| Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images D Romo-Bucheli, A Janowczyk, H Gilmore, E Romero, A Madabhushi Scientific reports 6 (1), 32706, 2016 | 101 | 2016 |
| Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer J Whitney, G Corredor, A Janowczyk, S Ganesan, S Doyle, ... BMC cancer 18, 1-15, 2018 | 100 | 2018 |
| An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival C Lu, JS Lewis Jr, WD Dupont, WD Plummer Jr, A Janowczyk, ... Modern Pathology 30 (12), 1655-1665, 2017 | 86 | 2017 |
| 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 | 74 | 2022 |
| A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images A Janowczyk, S Doyle, H Gilmore, A Madabhushi Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 74 | 2018 |
| A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI K Ravichandran, N Braman, A Janowczyk, A Madabhushi Medical imaging 2018: computer-aided diagnosis 10575, 79-88, 2018 | 70 | 2018 |
| Biogeography of microbial bile acid transformations along the murine gut S Marion, L Desharnais, N Studer, Y Dong, MD Notter, S Poudel, L Menin, ... Journal of lipid research 61 (11), 1450-1463, 2020 | 69 | 2020 |
| A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers D Romo‐Bucheli, A Janowczyk, H Gilmore, E Romero, A Madabhushi Cytometry Part A 91 (6), 566-573, 2017 | 69 | 2017 |
| A high-throughput active contour scheme for segmentation of histopathological imagery J Xu, A Janowczyk, S Chandran, A Madabhushi Medical image analysis 15 (6), 851-862, 2011 | 69 | 2011 |
| A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. C Lu, K Bera, X Wang, P Prasanna, J Xu, A Janowczyk, N Beig, M Yang, ... The Lancet. Digital health 2 (11), e594-e606, 2020 | 57 | 2020 |
| 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 | 55 | 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 | 52 | 2021 |
| MRQy—An open‐source tool for quality control of MR imaging data AR Sadri, A Janowczyk, R Zhou, R Verma, N Beig, J Antunes, ... Medical physics 47 (12), 6029-6038, 2020 | 51 | 2020 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechVerified email at emory.edu
