Kaustav Bera
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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
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), 1-11, 2018
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, 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
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
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
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
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
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
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
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
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer
P Vaidya, X Wang, K Bera, A Khunger, H Choi, P Patil, V Velcheti, ...
Medical Imaging 2018: Digital Pathology 10581, 105810M, 2018
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival
M Alilou, P Vaidya, M Khorrami, A Zagouras, P Patil, K Bera, P Fu, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109501F, 2019
Understanding clinical complexity through conversational learning in medical social networks: Implementing user-driven health care
A Price, S Chandra, K Bera, T Biswas, P Chatterjee, R Wittenberg, ...
Handbook of Systems and Complexity in Health, 767-793, 2013
A combination of intra-and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint …
M Khorrami, M Alilou, P Prasanna, P Patil, P Velu, K Bera, P Fu, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109500R, 2019
Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).
C Barrera, P Velu, K Bera, X Wang, P Prasanna, M Khunger, A Khunger, ...
Journal of Clinical Oncology 36 (15_suppl), 12115-12115, 2018
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
Murine double minute 2, a potential p53-independent regulator of liver cancer metastasis
A Ranjan, K Bera, T Iwakuma
Hepatoma research 2, 114, 2016
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