6 citations · 15 across the 5 of their papers we have counts for
5 papers
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang +4
Motion mode (M-mode) recording is an essential part of echocardiography to measure cardiac dimension and function. However, the current diagnosis cannot build an automatic scheme,…
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
Viktor Schlegel, Hao Li, Yuping Wu +8
This paper describes PULSAR, our system submission at the ImageClef 2023 MediQA-Sum task on summarising patient-doctor dialogues into clinical records. The proposed framework relie…
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models
Hao Li, Yuping Wu, Viktor Schlegel +7
Medical progress notes play a crucial role in documenting a patient's hospital journey, including his or her condition, treatment plan, and any updates for healthcare providers. Au…
EDU-level Extractive Summarization with Varying Summary Lengths
Yuping Wu, Ching-Hsun Tseng, Jiayu Shang +3
Extractive models usually formulate text summarization as extracting fixed top- salient sentences from the document as a summary. Few works exploited extracting finer-grained El…
Perturbated Gradients Updating within Unit Space for Deep Learning
Ching-Hsun. Tseng, Liu-Hsueh. Cheng, Shin-Jye. Lee +1
In deep learning, optimization plays a vital role. By focusing on image classification, this work investigates the pros and cons of the widely used optimizers, and proposes a new o…