|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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