2.9k citations
- Rice UniversityUS10 papers
- Cornell UniversityUS9 papers
- University of Maryland, College ParkUS4 papers
- Carnegie Mellon UniversityUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Columbia UniversityUS2 papers
- IBM Research - Thomas J. Watson Research CenterUS2 papers
- Methodist HospitalUS2 papers
- Rensselaer Polytechnic InstituteUS2 papers
- Stanford UniversityUS2 papers
- Texas A&M UniversityUS2 papers
- The University of Texas Health Science Center at HoustonUS2 papers
36 papers
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
Enshuo Hsu, Kirk Roberts
The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily availabl…
On in-silico estimation of left ventricular end-diastolic pressure from cardiac strains
Emilio A. Mendiola, Raza Rana Mehdi, Dipan J. Shah +1
Left ventricular diastolic dysfunction (LVDD) is a group of diseases that adversely affect the passive phase of the cardiac cycle and can lead to heart failure. While left ventricu…
Distal and non-symmetrical crack nucleation in delamination of plates via dimensionally-reduced peridynamics
Riccardo Cavuoto, Arsenio Cutolo, Kaushik Dayal +2
Exploiting the framework of peridynamics, a dimensionally-reduced plate formulation is developed that allows for the through-thickness nucleation and growth of fracture surfaces, e…
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
Xi Fang, Daeseung Kim, Xuanang Xu +8
Simulating facial appearance change following bony movement is a critical step in orthognathic surgical planning for patients with jaw deformities. Conventional biomechanics-based…
e-G2C: A 0.14-to-8.31 J/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM
Yang Zhao, Yongan Zhang, Yonggan Fu +10
This work presents the first silicon-validated dedicated EGM-to-ECG (G2C) processor, dubbed e-G2C, featuring continuous lightweight anomaly detection, event-driven coarse/precise c…
Federated Multi-organ Segmentation with Inconsistent Labels
Xuanang Xu, Hannah H. Deng, Jaime Gateno +1
Federated learning is an emerging paradigm allowing large-scale decentralized learning without sharing data across different data owners, which helps address the concern of data pr…