activity
20222024
most citedDDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Universal Medical Image Representation Learning with Compositional Decoders

Kaini Wang, Ling Yang, Siping Zhou +4

Visual-language models have advanced the development of universal models, yet their application in medical imaging remains constrained by specific functional requirements and the l…

cs.CV2024

TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection

Kaini Wang, Haolin Wang, Guang-Quan Zhou +4

CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps wi…

cs.CV20241 cited

DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography

Zhenyu Bu, Yang Liu, Jiayu Huo +7

Accurate identification of End-Diastolic (ED) and End-Systolic (ES) frames is key for cardiac function assessment through echocardiography. However, traditional methods face severa…

cs.CV2023

A Complementary Global and Local Knowledge Network for Ultrasound denoising with Fine-grained Refinement

Zhenyu Bu, Kai-Ni Wang, Fuxing Zhao +2

Ultrasound imaging serves as an effective and non-invasive diagnostic tool commonly employed in clinical examinations. However, the presence of speckle noise in ultrasound images i…

eess.IV2022

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification

Kai-Ni Wang, Yuting He, Shuaishuai Zhuang +6

Reliable automatic classification of colonoscopy images is of great significance in assessing the stage of colonic lesions and formulating appropriate treatment plans. However, it…