Author Info
Name
Affiliation
Papers
KAUSTAV BERA
Case Western Reserve Univ, Dept Biomed Engn, Cleveland, OH 44106 USA
13
Collaborators
Citations 
PageRank 
83
0
4.39
Referers 
Referees 
References 
0
6
1
Title
Citations
PageRank
Year
Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study00.342021
Computationally Derived Cytological Image Markers For Predicting Risk Of Relapse In Acute Myeloid Leukemia Patients Following Bone Marrow Transplantation00.342020
Texture Features Distinguish Benign Cell Clusters And Adenocarcinoma On Bile Duct Brushing Cytology Images00.342020
Texture Kinetic Features From Pre-Treatment Dce Mri For Predicting Pathologic Tumor Stage Regression After Neoadjuvant Chemoradiation In Rectal Cancers00.342020
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival.00.342019
Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation.00.342019
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 inhibitors - a multi-agent multi-site study.00.342019
Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation.00.342019
Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI.00.342019
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI.00.342019
Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease.00.342018
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer.00.342018
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer.00.342018