output
20112023
most citedStructured Landmark Detection via Topology-Adapting Deep Graph Learning

80 citations

14 papers

cs.LG2023★ 13 cited

Self-supervised learning-based general laboratory progress pretrained model for cardiovascular event detection

Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng +4

The inherent nature of patient data poses several challenges. Prevalent cases amass substantial longitudinal data owing to their patient volume and consistent follow-ups, however,…

cs.CV2020★ 4 cited

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

Yuhang Lu, Kang Zheng, Weijian Li +8

Accurate segmentation of anatomical structures is vital for medical image analysis. The state-of-the-art accuracy is typically achieved by supervised learning methods, where gather…

cs.CV2020★ 1 cited

Learning to Segment Anatomical Structures Accurately from One Exemplar

Yuhang Lu, Weijian Li, Kang Zheng +8

Accurate segmentation of critical anatomical structures is at the core of medical image analysis. The main bottleneck lies in gathering the requisite expert-labeled image annotatio…

cs.CV2020★ 80 cited

Structured Landmark Detection via Topology-Adapting Deep Graph Learning

Weijian Li, Yuhang Lu, Kang Zheng +8

Image landmark detection aims to automatically identify the locations of predefined fiducial points. Despite recent success in this field, higher-ordered structural modeling to cap…

eess.IV2019★ 2 cited

Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk

Dakai Jin, Dazhou Guo, Tsung-Ying Ho +4

Clinical target volume (CTV) delineation from radiotherapy computed tomography (RTCT) images is used to define the treatment areas containing the gross tumor volume (GTV) and/or su…

eess.IV2019★ 13 cited

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion

Dakai Jin, Dazhou Guo, Tsung-Ying Ho +4

Gross tumor volume (GTV) segmentation is a critical step in esophageal cancer radiotherapy treatment planning. Inconsistencies across oncologists and prohibitive labor costs motiva…

cs.CV2019★ 32 cited

Weakly Supervised Universal Fracture Detection in Pelvic X-rays

Yirui Wang, Le Lu, Chi-Tung Cheng +5

Hip and pelvic fractures are serious injuries with life-threatening complications. However, diagnostic errors of fractures in pelvic X-rays (PXRs) are very common, driving the dema…

physics.med-ph2019★ 8 cited

Iron Embedded Magnetic Nanodiamonds for in vivo MRI Contrast Enhancement

Bo-Rong Lin, Chien-Hsu Chen, Chun-Hsiang Chang +9

Although nanodiamonds have long being considered as a potential tool for biomedical research, the practical in vivo application of nanodiamonds remains relatively unexplored. In th…

cond-mat.mes-hall2018★ 61 cited

New Families of Large Band Gap 2D Topological Insulators in Ethynyl-Derivative Functionalized Compounds

Lauryn Wu, Kunming Gu, Qiliang Li

The search for large band gap systems with dissipationless edge states is essential to developing materials that function under a wide range of temperatures. Two-dimensional (2D) t…

physics.data-an2017★ 24 cited

Single-lead f-wave extraction using diffusion geometry

John Malik, Neil Reed, Chun-Li Wang +1

A novel single-lead f-wave extraction algorithm based on the modern diffusion geometry data analysis framework is proposed. The algorithm is essentially an averaged beat subtractio…

cond-mat.mtrl-sci2016★ 22 cited

Structure and Bonding in Amorphous Cr1-xCx Nanocomposite Thin Films: X-ray Absorption Spectra and First-Principles Calculation

Weine Olovsson, Björn Alling, Martin Magnuson

The local structure and chemical bonding in two-phase amorphous CrC nanocomposite thin films are investigated by Cr -edge () X-ray absorption near-edge structu…

stat.AP2015★ 24 cited

Modeling the pulse signal by wave-shape function and analyzing by synchrosqueezing transform

Hau-tieng Wu, Han-Kuei Wu, Chun-Li Wang +4

We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to…

q-bio.GN2013★ 64 cited

Dynamic Transcript Profiling of Candida Albicans Infection in Zebrafish: a Pathogen-Host Interaction Study

Yan Yu Chen, Chun-Cheih Chao, Fu-Chen Liu +7

Candida albicans is responsible for a number of life-threatening infections and causes considerable morbidity and mortality in immunocompromised patients. Previous studies of C. al…

math.NA2011★ 4 cited

Using synchrosqueezing transform to discover breathing dynamics from ECG signals

Wu Hau-Tieng, Chan Yi-Hsin, Lin Yu-Ting +1

The acquisition of breathing dynamics without directly recording the respiratory signals is beneficial in many clinical settings. The electrocardiography (ECG)-derived respiration…