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20192025
most citedautoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients

51 citations · 161 across the 13 of their papers we have counts for

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9 papers · 1 filter

eess.IV2025

Direct vascular territory segmentation on cerebral digital subtraction angiography

P. Matthijs van der Sluijs, Lotte Strong, Frank G. te Nijenhuis +10

X-ray digital subtraction angiography (DSA) is frequently used when evaluating minimally invasive medical interventions. DSA predominantly visualizes vessels, and soft tissue anato…

eess.IV2024★ 18 cited

DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation

Jiong Zhang, Qihang Xie, Lei Mou +6

Cerebrovascular diseases (CVDs) remain a leading cause of global disability and mortality. Digital Subtraction Angiography (DSA) sequences, recognized as the gold standard for diag…

eess.IV2024

An automated framework for brain vessel centerline extraction from CTA images

Sijie Liu, Ruisheng Su, Jianghang Su +8

Accurate automated extraction of brain vessel centerlines from CTA images plays an important role in diagnosis and therapy of cerebrovascular diseases, such as stroke. However, thi…

eess.IV2024★ 1 cited

An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation

Weijin Xu, Zhuang Sha, Huihua Yang +4

Hemorrhagic Stroke (HS) has a rapid onset and is a serious condition that poses a great health threat. Promptly and accurately delineating the bleeding region and estimating the vo…

eess.IV2023★ 7 cited

AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

Ruisheng Su, Matthijs van der Sluijs, Sandra Cornelissen +6

Cerebral X-ray digital subtraction angiography (DSA) is the standard imaging technique for visualizing blood flow and guiding endovascular treatments. The quality of DSA is often n…

eess.IV2023★ 29 cited

DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences

Wentao Liu, Tong Tian, Lemeng Wang +11

The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly c…

eess.IV2022★ 31 cited

CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography

Ruisheng Su, P. Matthijs van der Sluijs, Yuan Chen +7

Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high…

eess.IV2020★ 51 cited

autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients

Ruisheng Su, Sandra A. P. Cornelissen, Matthijs van der Sluijs +8

The Thrombolysis in Cerebral Infarction (TICI) score is an important metric for reperfusion therapy assessment in acute ischemic stroke. It is commonly used as a technical outcome…

eess.IV2020★ 15 cited

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data

Xin Wang, Ruisheng Su, Weiyi Xie +5

In medical-data driven learning, 3D convolutional neural networks (CNNs) have started to show superior performance to 2D CNNs in numerous deep learning tasks, proving the added val…