| Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non–small cell lung cancer G Corredor, X Wang, Y Zhou, C Lu, P Fu, K Syrigos, DL Rimm, M Yang, ... Clinical cancer research 25 (5), 1526-1534, 2019 | 254 | 2019 |
| 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 | 154 | 2018 |
| CKD-TransBTS: clinical knowledge-driven hybrid transformer with modality-correlated cross-attention for brain tumor segmentation J Lin, J Lin, C Lu, H Chen, H Lin, B Zhao, Z Shi, B Qiu, X Pan, Z Xu, ... IEEE transactions on medical imaging 42 (8), 2451-2461, 2023 | 92 | 2023 |
| 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 | 90 | 2017 |
| Automatic nuclei detection based on generalized laplacian of gaussian filters H Xu, C Lu, R Berendt, N Jha, M Mandal IEEE journal of biomedical and health informatics 21 (3), 826-837, 2016 | 89 | 2016 |
| Automated segmentation of the melanocytes in skin histopathological images C Lu, M Mahmood, N Jha, M Mandal IEEE journal of biomedical and health informatics 17 (2), 284-296, 2013 | 83 | 2013 |
| Automated analysis and diagnosis of skin melanoma on whole slide histopathological images C Lu, M Mandal Pattern Recognition 48 (8), 2738-2750, 2015 | 81 | 2015 |
| Toward automatic mitotic cell detection and segmentation in multispectral histopathological images C Lu, M Mandal IEEE journal of biomedical and health informatics 18 (2), 594-605, 2013 | 78 | 2013 |
| An efficient technique for nuclei segmentation based on ellipse descriptor analysis and improved seed detection algorithm H Xu, C Lu, M Mandal IEEE journal of biomedical and health informatics 18 (5), 1729-1741, 2014 | 77 | 2014 |
| MRI-based quantification of intratumoral heterogeneity for predicting treatment response to neoadjuvant chemotherapy in breast cancer Z Shi, X Huang, Z Cheng, Z Xu, H Lin, C Liu, X Chen, C Liu, C Liang, C Lu, ... Radiology 308 (1), e222830, 2023 | 75 | 2023 |
| Automated analysis and classification of melanocytic tumor on skin whole slide images H Xu, C Lu, R Berendt, N Jha, M Mandal Computerized medical imaging and graphics 66, 124-134, 2018 | 73 | 2018 |
| 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 | 68 | 2020 |
| A robust automatic nuclei segmentation technique for quantitative histopathological image analysis C Lu, M Mahmood, N Jha, M Mandal Analytical and Quantitative Cytology and Histology 34, 296-308, 2012 | 59 | 2012 |
| 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 | 58 | 2021 |
| Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors X Wang, C Barrera, K Bera, VS Viswanathan, S Azarianpour-Esfahani, ... Science Advances 8 (22), eabn3966, 2022 | 57 | 2022 |
| Vision transformers for computational histopathology H Xu, Q Xu, F Cong, J Kang, C Han, Z Liu, A Madabhushi, C Lu IEEE Reviews in Biomedical Engineering, 2023 | 48 | 2023 |
| 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 | 45 | 2022 |
| Multi-pass adaptive voting for nuclei detection in histopathological images C Lu, H Xu, J Xu, H Gilmore, M Mandal, A Madabhushi Scientific reports 6 (1), 33985, 2016 | 42 | 2016 |
| Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation H Li, K Bera, P Toro, PF Fu, Z Zhang, C Lu, M Feldman, S Ganesan, ... NPJ Breast Cancer 7 (1), 104, 2021 | 40 | 2021 |
| Predicting cancer progression using cell run length features A Madabhushi, C Lu US Patent 10,503,959, 2019 | 40 | 2019 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechEmail verificata su emory.edu