315 citations · 317 across the 5 of their papers we have counts for
5 papers
Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images
Kshitij Ingale, Sun Hae Hong, Qiyuan Hu +7
Molecular testing of tumor samples for targetable biomarkers is restricted by a lack of standardization, turnaround-time, cost, and tissue availability across cancer types. Additio…
Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images
Qiyuan Hu, Abbas A. Rizvi, Geoffery Schau +13
Microsatellite instability-high (MSI-H) is a tumor agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in pa…
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer, Adam Polyak, Thomas Hayes +10
We propose Make-A-Video -- an approach for directly translating the tremendous recent progress in Text-to-Image (T2I) generation to Text-to-Video (T2V). Our intuition is simple: le…
Nanomechanical testing of silica nanospheres for levitated optomechanics experiments
Cayla R. Harvey, Evan Weisman, Chethn Galla +5
Optically-levitated dielectric particles can serve as ultra-sensitive detectors of feeble forces and torques, as tools for use in quantum information science, and as a testbed for…
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
Deep transfer learning using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has shown strong predictive power in characterization of breast lesions. However, pretra…