Scholar
Apaar Sadhwani
Google Scholar ID: U2UGGSMAAAAJ
Google Brain, Google Health, Stanford University
Citations & Impact
Citations
838
H-index
4
i10-index
4
Publications
16
Co-authors
11
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- 1. Deep learning for mortgage risk (2021, cited 349 times)
- 2. Deep learning-based survival prediction for multiple cancer types using histopathology images (2020, cited 310 times)
- 3. Interpretable survival prediction for colorectal cancer using deep learning (2021, cited 215 times)
- 4. Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images (2021, cited 70 times)
- 5. Online learning under adversarial corruptions (2021, cited 4 times)
- 6. Systems And Methods For Directly Predicting Cancer Patient Survival Based On Histopathology Images (2023, cited 3 times)
- 7. A machine learning-based approach for the inference of immunotherapy biomarker status in lung adenocarcinoma from hematoxylin and eosin (H&E) histopathology images (2020, cited 3 times)
- 8. A Set-Sequence Model for Time Series (2025, cited 2 times)
- 9. A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer (2020, cited 1 time)
Research Experience
- Work experience at Google Brain, Google Health, and Stanford University.
Background
- Research Interests: Machine Learning, Computer Vision, Reinforcement Learning, Medical Imaging, Operations Research.
