4 papers
Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
Hoang-Dieu Vu, Duc-Nghia Tran, Quang-Tu Pham +3
This paper introduces Smooth-Distill, a novel self-distillation framework designed to simultaneously perform human activity recognition (HAR) and sensor placement detection using w…
Quantitative Gait Analysis from Single RGB Videos Using a Dual-Input Transformer-Based Network
Hiep Dinh, Son Le, My Than +3
Gait and movement analysis have become a well-established clinical tool for diagnosing health conditions, monitoring disease progression for a wide spectrum of diseases, and to imp…
SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs
Huyen Le, Khiet Dang, Tien Lai +3
Quantifying sarcomere structure organization in human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) is crucial for understanding cardiac disease pathology, impro…
D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs
Huyen Le, Khiet Dang, Nhung Nguyen +2
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are a powerful tool in advancing cardiovascular research and clinical applications. The maturation of sarcome…