output
20192026
most citedMedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

1k citations

16 papers

cs.CY2026★ 4 cited

AI-PACE: A Framework for Integrating AI into Medical Education

Scott P. McGrath, Katherine K. Kim, Karnjit Johl +2

The integration of artificial intelligence (AI) into healthcare is accelerating, yet medical education has not kept pace with these technological advancements. This paper synthesiz…

cs.CV2025★ 10 cited

Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework

Jun Li, Hongzhang Zhu, Tao Chen +1

Recently, numerous pancreas segmentation methods have achieved promising performance on local single-source datasets. However, these methods don't adequately account for generaliza…

cs.CV2025★ 2 cited

Path and Bone-Contour Regularized Unpaired MRI-to-CT Translation

Teng Zhou, Jax Luo, Yuping Sun +4

Accurate MRI-to-CT translation promises the integration of complementary imaging information without the need for additional imaging sessions. Given the practical challenges associ…

cs.AI2024★ 6 cited

Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain

Guang-Bin Huang, M. Brandon Westover, Eng-King Tan +11

Artificial Intelligence (AI) has apparently become one of the most important techniques discovered by humans in history while the human brain is widely recognized as one of the mos…

eess.IV2024★ 2 cited

MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

Xueyang Li, Han Xiao, Weixiang Weng +2

Colorectal cancer is a prevalent form of cancer, and many patients develop colorectal cancer liver metastasis (CRLM) as a result. Early detection of CRLM is critical for improving…

cs.CV2024★ 4 cited

Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image

Xiaojia Zhu, Rui Chen, Xiaoqi Guo +4

Scoliosis is one of the most common diseases in adolescents. Traditional screening methods for the scoliosis usually use radiographic examination, which requires certified experts…

eess.SY2024

Energy-Aware Holistic Optimization in UAV-Assisted Fog Computing: Attitude, Trajectory, Task Assignment

Shuaijun Liu, Jinqiu Du, Yaxin Zheng +3

Unmanned Aerial Vehicles (UAVs) have significantly enhanced fog computing by acting as both flexible computation platforms and communication mobile relays. In this paper, we consid…

cs.CV2024

A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation

Pengyu Jie, Wanquan Liu, Chenqiang Gao +6

Lesion segmentation on nasal endoscopic images is challenging due to its complex lesion features. Fully-supervised deep learning methods achieve promising performance with pixel-le…

cs.CV2024★ 5 cited

DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy

Qingyao Tian, Huai Liao, Xinyan Huang +5

Real-time 6 DOF localization of bronchoscopes is crucial for enhancing intervention quality. However, current vision-based technologies struggle to balance between generalization t…

physics.bio-ph2023★ 1 cited

Transmission infrared micro-spectroscopic study of individual human hair

Chen Li, Yuhan Du, Haonan Chen +5

Understanding the optical transmission property of human hair, especially in the infrared regime, is vital in physical, clinical, and biomedical research. However, the majority of…

eess.IV2023★ 11 cited

Continuous 3D Myocardial Motion Tracking via Echocardiography

Chengkang Shen, Hao Zhu, You Zhou +8

Myocardial motion tracking stands as an essential clinical tool in the prevention and detection of cardiovascular diseases (CVDs), the foremost cause of death globally. However, cu…

cs.LG2023★ 26 cited

A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit

Ping Chang, Huayu Li, Stuart F. Quan +4

Background and Objective: Vital sign monitoring in the Intensive Care Unit (ICU) is crucial for enabling prompt interventions for patients. This underscores the need for an accurat…

eess.IV2022★ 54 cited

MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images

Junyi Qiu, Lei Li, Sihan Wang +4

Myocardial pathology segmentation (MyoPS) can be a prerequisite for the accurate diagnosis and treatment planning of myocardial infarction. However, achieving this segmentation is…

cs.CV2021★ 1k cited

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Jiancheng Yang, Rui Shi, Donglai Wei +5

We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D. All images are pre-proc…

physics.med-ph2021★ 36 cited

Fluid structure interaction: Insights into biomechanical implications of endograft after thoracic endovascular aortic repair

Yonghui Qiao, Le Mao, Ying Ding +3

Thoracic endovascular aortic repair (TEVAR) has developed to be the most effective treatment for aortic diseases. This study aims to evaluate the biomechanical implications of the…

eess.IV2019★ 175 cited

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Yi Wang, Haoran Dou, Xiaowei Hu +7

Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developi…