Steven Song

University of Chicago — United States

Medicine · Health Sciences

7h-index4.0kcitations31works0.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Cutaneous Melanoma Detection and Management(6), Nonmelanoma Skin Cancer Studies(5), ECG Monitoring and Analysis(4), Angiogenesis and VEGF in Cancer(3), Cardiac electrophysiology and arrhythmias(2)

Publications31 total

AI-Guided CRISPR Screen Accelerates Discovery of New Drug Targets
2026Open Access
The Harvard-Emory ECG Database
Scientific Data·2026Open Access
Query Augmented Generation (QAG) from the Genomic Data Commons for Accurate Variant Statistics
2025Open Access
Table 1 from AI-assisted Diagnosis of Nonmelanoma Skin Cancer in Resource-Limited Settings
2025Open Access
Data from AI-assisted Diagnosis of Nonmelanoma Skin Cancer in Resource-Limited Settings
2025Open Access
Table 2 from AI-assisted Diagnosis of Nonmelanoma Skin Cancer in Resource-Limited Settings
2025Open Access
Figure 1 from AI-assisted Diagnosis of Nonmelanoma Skin Cancer in Resource-Limited Settings
2025Open Access
Abstract 1141: Improved diagnosis of non-melanoma skin cancer in resource-limited settings
Cancer Research·2025
AI-assisted Diagnosis of Nonmelanoma Skin Cancer in Resource-Limited Settings
Cancer Epidemiology Biomarkers & Prevention·2025Open Access
Cardiac Output Estimation in the Intensive Care Unit
JACC Advances·2025· 1 citedOpen Access
Virtual CRISPR: Can LLMs Predict CRISPR Screen Results?
2025Open Access
Predicting adverse outcomes after cardiac surgery using multi-task deep neural networks, clinical features, and electrocardiograms
2024Open Access
GDC Cohort Copilot: an AI copilot for curating cohorts from the genomic data commons
Bioinformatics Advances·2024Open Access
LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation
arXiv (Cornell University)·2024Open Access
ATAT: Automated Tissue Alignment and Traversal in Spatial Transcriptomics with Self-Supervised Learning
2023· 1 citedOpen Access
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)·2023· 12 cited
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
arXiv (Cornell University)·2022Open Access
PC-578-03 RIGHT ATRIAL ATYPICAL FLUTTER WITH 2:1 INTRA-ATRIAL BLOCK MIMICKING LEFT ATRIAL FOCAL AND LOCALISED REENTRANT TACHYCARDIA
Heart Rhythm·2022
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling
PLoS Computational Biology·2022· 41 citedOpen Access
Late onset atrial fibrillation in patients undergoing surgical aortic valve replacement
Journal of Cardiac Surgery·2021· 1 cited
page 1 of 2Next →

Frequent Co-authors

Robert L. Grossman(9), Aly A. Khan(8), Erik Reinertsen(6), Aaron D. Aguirre(6), Spencer Ellis(6), Derek Reiman(6), Xuan Hui(6), Renyu Zhang(6), Hasan Shahriar(6), Mohammed Kamal(6), Christopher R. Shea(6), Habibul Ahsan(6), Maria Argos(5), Gabriele Bergers(3), Collin M. Stultz(3), Thoralf M. Sundt(3), Nicole Meyer-Morse(2), Emily K. Bergsland(2), Douglas Hanahan(2), Nathaniel Diamant(2)