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Cristian Barrera
Observed names:
Barrera, Cristian,
C. Barrera,
Cristian Barrera
Institutions:
Georgia Institute of Technology,
Emory University
Observed institutions:
Georgia Institute of Technology,
Emory University,
The Wallace H. Coulter Department of Biomedical Engineering,
Universidad Nacional de Colombia,
Case Western Reserve University
ORCID:
0000-0001-7806-9946
Observed ORCID:
0000-0001-7806-9946
OpenAlex ID:
A5033580917
Role of tumor infiltrating lymphocytes and spatial immune heterogeneity in sensitivity to PD-1 axis blockers in non-small cell lung cancer
2022
·
Miguel Lopez de Rodas
, Venkata Nagineni
, et al.
·
Journal for ImmunoTherapy of Cancer
·
130
Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors
2022
·
Xiangxue Wang
, Cristian Barrera
, et al.
·
Science Advances
·
89
PDF
Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome
2022
·
Ruiwen Ding
, Prateek Prasanna
, et al.
·
npj Precision Oncology
·
49
PDF
Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer
2023
·
Cristian Barrera
, Germán Corredor
, et al.
·
npj Precision Oncology
·
31
PDF
Pancancer outcome prediction via a unified weakly supervised deep learning model
2025
·
Wei Yuan
, Yijiang Chen
, et al.
·
Signal Transduction and Targeted Therapy
·
29
PDF
A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer
2021
·
Xiangxue Wang
, Kaustav Bera
, et al.
·
EBioMedicine
·
29
PDF
Computationally integrating radiology and pathology image features for predicting treatment benefit and outcome in lung cancer
2025
·
Pranjal Vaidya
, Mohammadhadi Khorrami
, et al.
·
npj Precision Oncology
·
17
PDF
Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).
2018
·
Cristian Barrera
, Priya Velu
, et al.
·
Journal of Clinical Oncology
·
14
Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer.
2018
·
Xiangxue Wang
, Cristian Barrera
, et al.
·
Journal of Clinical Oncology
·
13
AI-based radiomic features predict outcomes and the added benefit of chemoimmunotherapy over chemotherapy in extensive stage small cell lung cancer: A multi-institutional study
2025
·
Mohammadhadi Khorrami
, Pushkar Mutha
, et al.
·
Cancer Letters
·
9
Differentiating Cancerous and Non-cancerous Prostate Tissue Using Multi-scale Texture Analysis on MRI
2019
·
Charlems Alvarez-Jimenez
, Cristian Barrera
, et al.
·
6
A deep learning framework to iDentify prOgnostically releVant cancEr Regions (DOVER) within whole slide histopathology images
2025
·
Xiangxue Wang
, Yufei Zhou
, et al.
·
Cancer Letters
·
2
Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer
2023
·
Yufei Zhou
, Can F. Koyuncu
, et al.
·
SPIE Medical Imaging: Digital and Computational Pathology
·
2
Localization of Small Neoplastic Lesions in Colonoscopy by Estimating Edge, Texture and Motion Saliency
2019
·
Josue Ruano
, Cristian Barrera
, et al.
·
2
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer
2019
·
Cristian Barrera
, Germán Corredor
, et al.
·
SPIE Medical Imaging: Digital Pathology
·
2
An Automatic Segmentation of Gland Nuclei in Gastric Cancer Based on Local and Contextual Information
2019
·
Cristian Barrera
, Germán Corredor
, et al.
·
Lecture notes in computer science
·
2
Density patterns of tumor-infiltrating lymphocytes and association with objective response to nivolumab in patients with lung adenocarcinoma from CheckMate 057.
2022
·
Germán Corredor
, Ruiwen Ding
, et al.
·
Journal of Clinical Oncology
·
1
Combination of quantitative features from H&E biopsies and CT scans predicts response to chemotherapy and overall survival in small cell lung cancer (SCLC).
2021
·
Cristian Barrera
, Mohammadhadi Khorrami
, et al.
·
Journal of Clinical Oncology
·
1
P68.02 Computer Extracted Morphology Features of Tumor Nuclei Predict Response to Chemotherapy and Prognostic of OS in Small Cell Lung Cancer
2021
·
P. Jain
, C. Barrera
, et al.
·
Journal of Thoracic Oncology
·
1
PDF
MA25.02 Arrangement and Architecture of Tumor-Infiltrating Lymphocyte on H&E Slides Predict OS in Nivolumab Treated Non-Small Cell Lung Cancer
2019
·
X. Wang
, C. Barrera
, et al.
·
Journal of Thoracic Oncology
·
1
PDF
MA11.03 Interaction of Tumor Infiltrating Lymphocytes and Cancer Nuclei Predicts Response to Nivolumab in Non-Small Cell Lung Cancer (NSCLC)
2018
·
X. Wang
, C. Barrera
, et al.
·
Journal of Thoracic Oncology
·
1
PDF
Automated detection of carotid artery encasement on CT scans using an AI-driven approach
2026
·
Petra Hedesiu
, Sorana Eftimie
, et al.
·
Scientific Reports
PDF
Multimodal radiopathological integration for prognosis of limited and extensive stage small cell lung cancer
2026
·
Mohammadhadi Khorrami
, Cristian Barrera
, et al.
·
npj Precision Oncology
PDF
AI-derived CD8⁺ cytotoxic T-cell immune signatures from baseline H&E images to predict immunotherapy benefit over chemotherapy in non–small cell lung cancer: Blinded validation in CheckMate-227 (CM227).
2026
·
Cristian Barrera
, Wiem Safta
, et al.
·
Journal of Clinical Oncology
Computational pathology features of immune architecture predict clinically relevant outcomes in small-cell lung cancer (SCLC)
2026
·
Cristian Barrera
, Prantesh Jain
, et al.
·
npj Precision Oncology
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Works count:
30
Citation count:
430
H-index:
9
I10-index:
9
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