| Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology K Bera, KA Schalper, DL Rimm, V Velcheti, A Madabhushi Nature reviews Clinical oncology 16 (11), 703-715, 2019 | 1310 | 2019 |
| Predicting cancer outcomes with radiomics and artificial intelligence in radiology K Bera, N Braman, A Gupta, V Velcheti, A Madabhushi Nature reviews Clinical oncology 19 (2), 132-146, 2022 | 481 | 2022 |
| Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas N Beig, M Khorrami, M Alilou, P Prasanna, N Braman, M Orooji, S Rakshit, ... Radiology 290 (3), 783-792, 2019 | 317 | 2019 |
| Association of peritumoral radiomics with tumor biology and pathologic response to preoperative targeted therapy for HER2 (ERBB2)–positive breast cancer N Braman, P Prasanna, J Whitney, S Singh, N Beig, M Etesami, ... JAMA network open 2 (4), e192561-e192561, 2019 | 281 | 2019 |
| Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer M Khorrami, P Prasanna, A Gupta, P Patil, PD Velu, R Thawani, ... Cancer immunology research 8 (1), 108-119, 2020 | 261 | 2020 |
| Extracellular fluid viscosity enhances cell migration and cancer dissemination K Bera, A Kiepas, I Godet, Y Li, P Mehta, B Ifemembi, CD Paul, A Sen, ... Nature 611 (7935), 365-373, 2022 | 204 | 2022 |
| Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma N Beig, J Patel, P Prasanna, V Hill, A Gupta, R Correa, K Bera, S Singh, ... Scientific reports 8 (1), 7, 2018 | 127 | 2018 |
| CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective … P Vaidya, K Bera, A Gupta, X Wang, G Corredor, P Fu, N Beig, ... The Lancet Digital Health 2 (3), e116-e128, 2020 | 122 | 2020 |
| Harnessing non-destructive 3D pathology JTC Liu, AK Glaser, K Bera, LD True, NP Reder, KW Eliceiri, ... Nature biomedical engineering 5 (3), 203-218, 2021 | 120 | 2021 |
| Combination of peri-and intratumoral radiomic features on baseline CT scans predicts response to chemotherapy in lung adenocarcinoma M Khorrami, M Khunger, A Zagouras, P Patil, R Thawani, K Bera, P Rajiah, ... Radiology: Artificial Intelligence 1 (2), 180012, 2019 | 112 | 2019 |
| Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ... Clinical Cancer Research 26 (8), 1866-1876, 2020 | 109 | 2020 |
| The fluid shear stress sensor TRPM7 regulates tumor cell intravasation CL Yankaskas, K Bera, K Stoletov, SA Serra, J Carrillo-Garcia, ... Science advances 7 (28), eabh3457, 2021 | 98 | 2021 |
| Confinement hinders motility by inducing RhoA-mediated nuclear influx, volume expansion, and blebbing P Mistriotis, EO Wisniewski, K Bera, J Keys, Y Li, S Tuntithavornwat, ... Journal of Cell Biology 218 (12), 4093-4111, 2019 | 93 | 2019 |
| Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade P Vaidya, K Bera, PD Patil, A Gupta, P Jain, M Alilou, M Khorrami, ... Journal for Immunotherapy of Cancer 8 (2), 2020 | 91 | 2020 |
| Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: a multisite study M Ismail, V Hill, V Statsevych, R Huang, P Prasanna, R Correa, G Singh, ... American Journal of Neuroradiology 39 (12), 2187-2193, 2018 | 89 | 2018 |
| Novel quantitative imaging for predicting response to therapy: techniques and clinical applications K Bera, V Velcheti, A Madabhushi American Society of Clinical Oncology Educational Book 38, 1008-1018, 2018 | 79 | 2018 |
| Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features M Khorrami, P Jain, K Bera, M Alilou, R Thawani, P Patil, U Ahmad, ... Lung Cancer 135, 1-9, 2019 | 72 | 2019 |
| Radiomic Features of Primary Rectal Cancers on Baseline T2‐Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation … JT Antunes, A Ofshteyn, K Bera, EY Wang, JT Brady, JE Willis, ... Journal of Magnetic Resonance Imaging 52 (5), 1531-1541, 2020 | 70 | 2020 |
| 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 |
| Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges N Beig, K Bera, P Tiwari Neuro-Oncology Advances 2 (Supplement_4), iv3-iv14, 2020 | 60 | 2020 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia Techemory.edu의 이메일 확인됨