2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. - Ruisheng Su; Weiyi Xie; Tao Tan 002 (CoRR, 2020)

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; Adriaan C. G. M. van Es; Wim H. van Zwam; Diederik W. J. Dippel; Geert J. Lycklama; Pieter Jan van Doormaal; Wiro J. Niessen; Aad van der Lugt; Theo van Walsum (IEEE Trans. Medical Imaging, 2021)

Automatic artery/vein classification in 2D-DSA images of stroke patients. - Vivian van Asperen; Josefien van den Berg; Fleur Lycklama; Victoria Marting; Sandra A. P. Cornelissen; Wim H. van Zwam; Jeannette Hofmeijer; Aad van der Lugt; Theo van Walsum; Matthijs van der Sluijs; Ruisheng Su (Image-Guided Procedures, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy. - Ruisheng Su; Matthijs van der Sluijs; Sandra A. P. Cornelissen; Geert J. Lycklama; Jeannette Hofmeijer; Charles B. L. M. Majoie; Pieter Jan van Doormaal; Adriaan C. G. M. van Es; Danny Ruijters; Wiro J. Niessen; Aad van der Lugt; Theo van Walsum (Medical Image Anal., 2022)

Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography Images. - Weijin Xu; Huihua Yang; Tao Tan 002; Wentao Liu 004; Feng Gao; Yiming Deng; Xipeng Pan; Ruisheng Su (BIBM, 2023)

Multimodal Deep Learning for Functional Outcome Prediction in Endovascular Therapy. - Frank te Nijenhuis; Ruisheng Su; Pieter Jan van Doormaal; Jeannette Hofmeijer; Jasper Martens; Wim H. van Zwam; Aad van der Lugt; Theo van Walsum (BrainLes/SWITCH@MICCAI, 2023)

An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation. - Weijin Xu; Zhuang Sha; Huihua Yang; Rongcai Jiang; Zhanying Li; Wentao Liu 004; Ruisheng Su (BrainLes/SWITCH@MICCAI, 2023)

AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography. - Ruisheng Su; Matthijs van der Sluijs; Sandra A. P. Cornelissen; Wim H. van Zwam; Aad van der Lugt; Wiro J. Niessen; Danny Ruijters; Theo van Walsum; Adrian V. Dalca (MICCAI (7), 2023)

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. - Xin Wang 121; Tao Tan 002; Yuan Gao; Luyi Han; Tianyu Zhang 006; Chunyao Lu; Regina Beets-Tan; Ruisheng Su; Ritse Mann (MICCAI (7), 2023)

DIAS: A Comprehensive Benchmark for DSA-sequence Intracranial Artery Segmentation. - Wentao Liu 004; Tong Tian; Lemeng Wang; Weijin Xu; Haoyuan Li; Wenyi Zhao; Xipeng Pan; Huihua Yang; Feng Gao; Yiming Deng; Ruisheng Su (CoRR, 2023)

Multi-view Contour-constrained Transformer Network for Thin-cap Fibroatheroma Identification. - Sijie Liu; Jingmin Xin; Jiayi Wu 002; Yangyang Deng; Ruisheng Su; Wiro J. Niessen; Nanning Zheng 001; Theo van Walsum (Neurocomputing, 2023)

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. - Xin Wang 121; Ruisheng Su; Weiyi Xie; Wenjin Wang 002; Yi Xu; Ritse Mann; Jungong Han; Tao Tan 002 (Biomed. Signal Process. Control., 2023)

CAVE: Cerebral artery-vein segmentation in digital subtraction angiography. - Ruisheng Su; Matthijs van der Sluijs; Yuan Chen; Sandra A. P. Cornelissen; Ruben van den Broek; Wim H. van Zwam; Aad van der Lugt; Wiro J. Niessen; Danny Ruijters; Theo van Walsum (Comput. Medical Imaging Graph., 2024)

An automated framework for brain vessel centerline extraction from CTA images. - Sijie Liu; Ruisheng Su; Jianghang Su; Jingmin Xin; Jiayi Wu 002; Wim H. van Zwam; Pieter Jan van Doormaal; Aad van der Lugt; Wiro J. Niessen; Nanning Zheng 001; Theo van Walsum (CoRR, 2024)

Image-Guided Autonomous Guidewire Navigation in Robot-Assisted Endovascular Interventions using Reinforcement Learning. - Wentao Liu 004; Tong Tian; Weijin Xu; Bowen Liang; Qingsheng Lu; Xipeng Pan; Wenyi Zhao; Huihua Yang; Ruisheng Su (CoRR, 2024)

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation. - Wentao Liu 004; Bowen Liang; Weijin Xu; Tong Tian; Qingsheng Lu; Xipeng Pan; Haoyuan Li; Siyu Tian; Huihua Yang; Ruisheng Su (CoRR, 2024)

ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. - Ezequiel de la Rosa; Ruisheng Su; Mauricio Reyes 001; Roland Wiest; Evamaria Olga Riedel; Florian Kofler; Kaiyuan Yang 003; Hakim Baazaoui; David Robben; Susanne Wegener; Jan S. Kirschke; Benedikt Wiestler; et al. (CoRR, 2024)

ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. - Evamaria Olga Riedel; Ezequiel de la Rosa; The Anh Baran; Moritz Roman Hernandez Petzsche; Hakim Baazaoui; Kaiyuan Yang 003; David Robben; Joaquin Oscar Seia; Roland Wiest; Mauricio Reyes 001; Ruisheng Su; Claus Zimmer; et al. (CoRR, 2024)

DIAS: A dataset and benchmark for intracranial artery segmentation in DSA sequences. - Wentao Liu 004; Tong Tian; Lemeng Wang; Weijin Xu; Lei Li; Haoyuan Li; Wenyi Zhao; Siyu Tian; Xipeng Pan; Yiming Deng; Feng Gao; Huihua Yang; et al. (Medical Image Anal., 2024)

Automated image registration of cerebral digital subtraction angiography. - Vincent J. W. Hellebrekers; Theo van Walsum; Ihor Smal; Sandra A. P. Cornelissen; Wim H. van Zwam; Aad van der Lugt; Matthijs van der Sluijs; Ruisheng Su (Int. J. Comput. Assist. Radiol. Surg., 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images. - Weijin Xu; Huihua Yang; Yinghuan Shi; Tao Tan 002; Wentao Liu 004; Xipeng Pan; Yiming Deng; Feng Gao; Ruisheng Su (IEEE J. Biomed. Health Informatics, 2024)

CVFSNet: A Cross View Fusion Scoring Network for end-to-end mTICI scoring. - Weijin Xu; Tao Tan 002; Huihua Yang; Wentao Liu 004; Yifu Chen; Ling Zhang; Xipeng Pan; Feng Gao; Yiming Deng; Theo van Walsum; Matthijs van der Sluijs; Ruisheng Su (Medical Image Anal., 2025)

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting. - Hong Liu; Haosen Yang 003; Evi M. C. Huijben; Mark Schuiveling; Ruisheng Su; Josien P. W. Pluim; Mitko Veta (CoRR, 2025)

perfDSA: Automatic Perfusion Imaging in Cerebral Digital Subtraction Angiography. - Ruisheng Su; P. Matthijs van der Sluijs; Flavius-Gabriel Marc; Frank te Nijenhuis; Sandra A. P. Cornelissen; Bob Roozenbeek; Wim H. van Zwam; Aad van der Lugt; Danny Ruijters; Josien P. W. Pluim; Theo van Walsum (Int. J. Comput. Assist. Radiol. Surg., 2025)

DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation. - Jiong Zhang; Qihang Xie; Lei Mou; Dan Zhang 026; Da Chen 002; Caifeng Shan; Yitian Zhao; Ruisheng Su; Mengguo Guo (IEEE Trans. Medical Imaging, 2025)

Improving automatic cerebral 3D-2D CTA-DSA registration. - Charles Downs; P. Matthijs van der Sluijs; Sandra A. P. Cornelissen; Frank te Nijenhuis; Wim H. van Zwam; Vivek Gopalakrishnan; Xucong Zhang; Ruisheng Su; Theo van Walsum (Int. J. Comput. Assist. Radiol. Surg., 2025)

CLAIRE-DSA: Fluoroscopic Image Classification for Quality Assurance of Computer Vision Pipelines in Acute Ischemic Stroke. - Josefien van den Berg; Frank te Nijenhuis; Mirre J. Blaauboer; Daan T. W. van Erp; Carlijn M. Keppels; Matthijs van der Sluijs; Bob Roozenbeek; Wim H. van Zwam; Sandra A. P. Cornelissen; Danny Ruijters; Ruisheng Su; Theo van Walsum (CoRR, 2025)

OccluNet: Spatio-Temporal Deep Learning for Occlusion Detection on DSA. - Anushka A. Kore; Frank te Nijenhuis; Matthijs van der Sluijs; Wim H. van Zwam; Charles B. L. M. Majoie; Geert J. Lycklama à Nijeholt; Danny Ruijters; Frans Vos; Sandra A. P. Cornelissen; Ruisheng Su; Theo van Walsum (CoRR, 2025)