Non Contrast

Non-contrast imaging, using techniques like non-contrast CT and MRI, aims to improve medical diagnosis and monitoring without the need for contrast agents, reducing risks and costs. Current research heavily utilizes deep learning, employing architectures such as U-Nets, convolutional neural networks, and transformers, to analyze non-contrast images for automated segmentation, lesion detection, and quantitative measurements of various organs and pathologies (e.g., coronary calcium, kidney volume, stroke lesion volume). These advancements offer the potential for faster, cheaper, and safer diagnostic tools across numerous medical specialties, improving patient care and streamlining clinical workflows. The focus is on improving the accuracy and generalizability of these AI-driven methods across diverse patient populations and imaging protocols.

Papers

July 10, 2023

July 4, 2023

Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT
Jianhai Zhang, Tonghua Wan, Ethan MacDonald, Bijoy Menon, Aravind Ganesh, Qiu Wu
Application Proficiency Image Diffusion Model Non Contrast Stroke Lesion Segmentation Stroke Level

February 2, 2023

Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan
Meng Zhao, Yifan Hu, Ruixuan Jiang, Yuanli Zhao, Dong Zhang, Yan Zhang, Rong Wang, Yong Cao, Qian Zhang, Yonggang Ma, Jiaxi Li, Shaochen Yu, Wenjie Li, Ran Zhang, Yefeng Zheng, Shuo Wang, Jizong Zhao
Computed Tomography Non Contrast Intracerebral Hemorrhage Intracranial Hemorrhage Intracranial Hemorrhage Detection Arteriovenous Malformation

January 17, 2023

Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
A. V. Dobshik, S. K. Verbitskiy, I. A. Pestunov, K. M. Sherman, Yu. N. Sinyavskiy, A. A. Tulupov, V. B. Berikov
3D Convolutional 3D Brain Non Contrast Volumetric Segmentation Ischemic Stroke Ischemic Stroke Lesion Segmentation ACuTE Patient State

January 9, 2023

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge
Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li
Non Contrast Intracranial Hemorrhage Intracranial Hemorrhage Segmentation

November 24, 2022

Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists
Sophie Ostmeier, Brian Axelrod, Benjamin F. J. Verhaaren, Soren Christensen, Abdelkader Mahammedi, Yongkai Liu, Benjamin Pulli, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit
Non Contrast Ischemic Stroke Lesion Segmentation Low Self Esteem

June 30, 2022

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans
Haomiao Ni, Yuan Xue, Kelvin Wong, John Volpi, Stephen T. C. Wong, James Z. Wang, Xiaolei Huang
Non Contrast Disentanglement Learning Acute Ischemic Stroke

June 13, 2022

Automated Coronary Calcium Scoring using U-Net Models through Semi-supervised Learning on Non-Gated CT Scans
Sanskriti Singh
Semi Supervised Learning Computed Tomography Chest CT Non Contrast U Net Model Calcium Scoring

Non Contrast

Papers

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning

Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT

Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan

Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Automated Coronary Calcium Scoring using U-Net Models through Semi-supervised Learning on Non-Gated CT Scans