Sirvan Khalighi

Georgia Institute of Technology — United States

Neuroscience · Life Sciences

11h-index984citations36works22.72yr avg
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Research Topics

EEG and Brain-Computer Interfaces(6), Radiomics and Machine Learning in Medical Imaging(5), Bioinformatics and Genomic Networks(4), Head and Neck Cancer Studies(3), Image Retrieval and Classification Techniques(3)

Publications36 total

BIOM-94. MULTIMODAL EXPLAINABLE AI FOR MOLECULAR SUBTYPING OF GLIOMAS USING RADIOLOGY AND PATHOLOGY INTEGRATION
Neuro-Oncology·2025Open Access
Collagen disorder architecture features are associated with clinical, molecular, genetic factors and survival outcomes in colon cancer
npj Precision Oncology·2025Open Access
Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer
npj Precision Oncology·2025Open Access
Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer
JAMA Network Open·2025· 3 citedOpen Access
Non-Invasive Molecular Classification of Gliomas Using Explainable ai and Radiomic Features from Multi-Sequence MRI
2025· 1 cited
1516 An Integrated Radiomic and Pathomic Approach for the Molecular Classification of Gliomas
Laboratory Investigation·2025Open Access
A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas
European Journal of Cancer·2024· 2 citedOpen Access
Association of artificial intelligence–derived collagen disorder architecture (CoDA) features with survival outcome and objective response to immune checkpoint inhibitors in patients with head and neck squamous cell carcinoma.
Journal of Clinical Oncology·2024· 1 cited
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
npj Precision Oncology·2024· 206 citedOpen Access
Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies
Communications Medicine·2024· 15 citedOpen Access
Computational Image and Molecular Analysis Reveal Unique Prognostic Features of Immune Architecture in African Versus European American Women with Endometrial Cancer
Research Square (Research Square)·2023· 2 citedOpen Access
Machine learning driven index of tumor multinucleation correlates with survival and suppressed anti-tumor immunity in head and neck squamous cell carcinoma patients
Oral Oncology·2023· 10 citedOpen Access
A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer
2023
HNF4A Defines Molecular Subtypes and Vulnerability to Transforming Growth Factor β-Pathway Targeted Therapies in Cancers of the Distal Esophagus
Gastroenterology·2022· 5 citedOpen Access
SYSMut: decoding the functional significance of rare somatic mutations in cancer
Briefings in Bioinformatics·2022· 2 citedOpen Access
H3K9 methylation drives resistance to androgen receptor–antagonist therapy in prostate cancer
Proceedings of the National Academy of Sciences·2022· 45 citedOpen Access
SYS-Mut: Decoding the Functional Significance of Rare Somatic Mutations in Cancer
2021Open Access
Untangling a complex web: Computational analyses of tumor molecular profiles to decode driver mechanisms
Journal of genetics and genomics/Journal of Genetics and Genomics·2020· 6 citedOpen Access
Learning Under Distribution Mismatch
2017
Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation
IEEE Transactions on Cybernetics·2016· 21 cited
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Frequent Co-authors

Urbano Nunes(9), Anant Madabhushi(9), Pingfu Fu(8), Teresa Sousa(6), Parisa Tirdad(6), Vinay Varadan(5), Krunal Pandav(4), Gabriel Pires(4), Hamid R. Rabiee(4), Tilak Pathak(4), Salendra Singh(4), Mohammadhadi Khorrami(4), Malak Abedalthagafi(3), Deepak Babu(3), Sepideh Azarianpour(3), Germán Corredor(3), Stefanie Avril(3), Reetoja Nag(3), Vidya Sankar Viswanathan(3), Kishore Guda(3)