Ruisheng Su

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All published works
Action Title Year Authors
+ PDF Chat ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data 2024 Ezequiel de la Rosa
Ruisheng Su
Mauricio Reyes
Roland Wiest
Evamaria Olga Riedel
Florian Kofler
Kaiyuan Yang
Hakim Baazaoui
David Robben
Susanne Wegener
+ PDF Chat ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke 2024 Evamaria Olga Riedel
Ezequiel de la Rosa
The Anh Baran
Moritz Roman Hernandez Petzsche
Hakim Baazaoui
Kaiyuan Yang
David Robben
Joaquin Oscar Seia
Roland Wiest
Mauricio Reyes
+ PDF Chat DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation 2024 Qihang Xie
Mengguo Guo
Lei Mou
Dan Zhang
Da Chen
Caifeng Shan
Yitian Zhao
Ruisheng Su
Jiong Zhang
+ CAVE: Cerebral artery–vein segmentation in digital subtraction angiography 2024 Ruisheng Su
Matthijs van der Sluijs
Yuan Chen
Sandra Cornelissen
Ruben van den Broek
Wim H. van Zwam
Aad van der Lugt
Wiro J. Niessen
Daniël Ruijters
Theo van Walsum
+ PDF Chat UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation 2024 Wentao Liu
Bowen Liang
Weijin Xu
Tong Tian
Qingsheng Lu
Xipeng Pan
Haoyuan Li
Siyu Tian
Huihua Yang
Ruisheng Su
+ PDF Chat Image-Guided Autonomous Guidewire Navigation in Robot-Assisted Endovascular Interventions using Reinforcement Learning 2024 Wentao Liu
Tian Tong
Weijin Xu
Bowen Liang
Qingsheng Lu
Xipeng Pan
Wenyi Zhao
Huihua Yang
Ruisheng Su
+ An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation 2024 Weijin Xu
Zhuang Sha
Huihua Yang
Rongcai Jiang
Zhanying Li
Wentao Liu
Ruisheng Su
+ An automated framework for brain vessel centerline extraction from CTA images 2024 Sijie Liu
Ruisheng Su
Jianghang Su
Jingmin Xin
Jiayi Wu
Wim H. van Zwam
Pieter‐Jan van Doormaal
Aad van der Lugt
Wiro J. Niessen
Nanning Zheng
+ Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021 2023 Carole H. Sudre
Kimberlin Van Wijnen
Florian Dubost
Hieab H.H. Adams
David Atkinson
Frederik Barkhof
Mahlet Birhanu
Esther E. Bron
Robin Camarasa
Nish Chaturvedi
+ PDF Chat 2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data 2023 Xin Wang
Ruisheng Su
Hui Xie
Wenjin Wang
Yi Xu
Ritse M. Mann
Jungong Han
Tao Tan
+ DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences 2023 Wentao Liu
T. Siva Tian
Lemeng Wang
Weijin Xu
Lei Li
Haoyuan Li
Wenyi Zhao
Siyu Tian
Xipeng Pan
Huihua Yang
+ DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning 2023 Xin Wang
Tao Tan
Yuan Gao
Luyi Han
Tianyu Zhang
Chunyao Lu
Regina G. H. Beets‐Tan
Ruisheng Su
Ritse M. Mann
+ PDF Chat AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography 2023 Ruisheng Su
Matthijs van der Sluijs
Sandra Cornelissen
Wim H. van Zwam
Aad van der Lugt
Wiro J. Niessen
Daniël Ruijters
Theo van Walsum
Adrian V. Dalca
+ CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography 2022 Ruisheng Su
P. Matthijs van der Sluijs
Yuan Chen
Sandra Cornelissen
Ruben van den Broek
Wim H. van Zwam
Aad van der Lugt
Wiro J. Niessen
Daniël Ruijters
Theo van Walsum
+ Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021 2022 Carole H. Sudre
Kimberlin Van Wijnen
Florian Dubost
Hieab H.H. Adams
David Atkinson
Frederik Barkhof
Mahlet Birhanu
Esther E. Bron
Robin Camarasa
Nish Chaturvedi
+ PDF Chat autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients 2021 Ruisheng Su
Sandra 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
+ 2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. 2020 Ruisheng Su
Hui Xie
Tao Tan
+ 2.75D: Boosting Learning Efficiency and Capability by Representing 3D Features in 2D 2020 Ruisheng Su
Hui Xie
Tao Tan
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients 2021 Ruisheng Su
Sandra 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
6
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
3
+ PDF Chat nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020 Fabian Isensee
Paul F. Jaeger
Simon Kohl
Jens Petersen
Klaus H. Maier‐Hein
3
+ Delving Deeper into Convolutional Networks for Learning Video Representations 2015 Nicolas Ballas
Li Yao
Chris Pal
Aaron Courville
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
3
+ PDF Chat ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases 2017 Xiaosong Wang
Yifan Peng
Le LĂŒ
Zhiyong Lu
Mohammadhadi Bagheri
Ronald M. Summers
3
+ PDF Chat UNet++: A Nested U-Net Architecture for Medical Image Segmentation 2018 Zongwei Zhou
Md Mahfuzur Rahman Siddiquee
Nima Tajbakhsh
Jianming Liang
3
+ PDF Chat Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning 2019 David Robben
Anna M.M. Boers
Henk A. Marquering
Lucianne L.C.M. Langezaal
Yvo B.W.E.M. Roos
Robert J. van Oostenbrugge
Wim H. van Zwam
Diederik W.J. Dippel
Charles B.L.M. Majoie
Aad van der Lugt
3
+ 2.75D: Boosting Learning Efficiency and Capability by Representing 3D Features in 2D 2020 Ruisheng Su
Hui Xie
Tao Tan
2
+ CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning 2017 Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
Tony Duan
Daisy Yi Ding
Aarti Bagul
Curtis P. Langlotz
Katie Shpanskaya
2
+ PDF Chat Extraction of vascular wall in carotid ultrasound via a novel boundary-delineation network 2023 Qinghua Huang
Lizhi Jia
Guanqing Ren
Xiaoyi Wang
Chunying Liu
2
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
2
+ TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation 2021 Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le LĂŒ
Alan Yuille
Yuyin Zhou
2
+ PDF Chat Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT 2021 Yulei Qin
Hao Zheng
Yun Gu
Xiaolin Huang
Jie Yang
Lihui Wang
Feng Yao
Yuemin Zhu
Guang‐Zhong Yang
2
+ Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets 2020 Jie Xing
Zheren Li
Biyuan Wang
Yuji Qi
Bingbin Yu
Farhad Ghazvinian Zanjani
Aiwen Zheng
Remco Duits
Tao Tan
2
+ Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting 2015 Xingjian Shi
Zhourong Chen
Hao Wang
Dit‐Yan Yeung
Wai Kin Wong
Wang‐chun Woo
2
+ PDF Chat PointRend: Image Segmentation As Rendering 2020 Alexander Kirillov
Yuxin Wu
Kaiming He
Ross Girshick
2
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
2
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
2
+ PDF Chat 3D Deep Learning on Medical Images: A Review 2020 Satya P. Singh
Lipo Wang
Sukrit Gupta
Haveesh Goli
Parasuraman Padmanabhan
BalĂĄzs GulyĂĄs
2
+ Transformer-XL: Attentive Language Models beyond a Fixed-Length Context 2019 Zihang Dai
Zhilin Yang
Yiming Yang
Jaime Carbonell
Quoc V. Le
Ruslan Salakhutdinov
2
+ PDF Chat Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge 2017 Arnaud Arindra Adiyoso Setio
Alberto Traverso
Thomas de Bel
Moira S.N. Berens
Cas van den Bogaard
P. Cerello
Hao Chen
Qi Dou
M.E. Fantacci
Bram Geurts
2
+ Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves 2014 Xu Sun
Weichao Xu
2
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
2
+ PDF Chat Automated brain extraction of multisequence MRI using artificial neural networks 2019 Fabian Isensee
Marianne Schell
Irada Pflueger
Gianluca Brugnara
David Bonekamp
Ulf Neuberger
Antje Wick
Heinz‐Peter Schlemmer
Sabine Heiland
Wolfgang Wick
1
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
1
+ PDF Chat Deep vessel segmentation by learning graphical connectivity 2019 Seung Yeon Shin
Soochahn Lee
Il Dong Yun
Kyoung Mu Lee
1
+ PDF Chat Attention Guided Network for Retinal Image Segmentation 2019 Shihao Zhang
Huazhu Fu
Yuguang Yan
Yubing Zhang
Qingyao Wu
Ming Yang
Mingkui Tan
Yanwu Xu
1
+ PDF Chat Semi-Supervised Video Salient Object Detection Using Pseudo-Labels 2019 Pengxiang Yan
Guanbin Li
Yuan Xie
Zhen Li
Chuan Wang
Tianshui Chen
Liang Lin
1
+ PDF Chat Sequential vessel segmentation via deep channel attention network 2020 Dongdong Hao
Song Ding
Linwei Qiu
Yisong Lv
Baowei Fei
Yueqi Zhu
Binjie Qin
1
+ PDF Chat Analyzing and Improving the Image Quality of StyleGAN 2020 Tero Karras
Samuli Laine
Miika Aittala
Janne Hellsten
Jaakko Lehtinen
Timo Aila
1
+ PDF Chat Semi-Supervised Semantic Segmentation With Cross-Consistency Training 2020 Yassine Ouali
CĂ©line Hudelot
Myriam Tami
1
+ BIAS: Transparent reporting of biomedical image analysis challenges 2020 Lena Maier‐Hein
Annika Reinke
Michal Kozubek
Anne L. Martel
Tal Arbel
Matthias Eisenmann
Allan Hanbury
Pierre Jannin
Henning MĂŒller
Sinan Onogur
1
+ PDF Chat BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation 2020 Mo Zhang
Fei Yu
Jie Zhao
Li Zhang
Quanzheng Li
1
+ CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging 2020 Lei Mou
Yitian Zhao
Huazhu Fu
Yonghuai Liu
Jun Cheng
Yalin Zheng
Pan Su
Jianlong Yang
Li Chen
Alejandro F Frang
1
+ PDF Chat Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network 2020 Rui Xu
Tiantian Liu
Xinchen Ye
Lin Lin
Yen‐Wei Chen
1
+ PDF Chat An Unsupervised Learning Model for Deformable Medical Image Registration 2018 Guha Balakrishnan
Amy Zhao
Mert R. Sabuncu
Adrian V. Dalca
John V. Guttag
1
+ PDF Chat Albumentations: Fast and Flexible Image Augmentations 2020 Alexander V. Buslaev
Vladimir I. Iglovikov
Eugene Khvedchenya
Alex Parinov
Mikhail Druzhinin
Alexandr A. Kalinin
1
+ PDF Chat ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model 2020 Yuhui Ma
Huaying Hao
Jianyang Xie
Huazhu Fu
Jiong Zhang
Jianlong Yang
Zhen Wang
Jiang Liu
Yalin Zheng
Yitian Zhao
1
+ PDF Chat Methods and open-source toolkit for analyzing and visualizing challenge results 2021 Manuel Wiesenfarth
Annika Reinke
Bennett A. Landman
Matthias Eisenmann
Laura Aguilera Saiz
M. Jorge Cardoso
Lena Maier‐Hein
Annette Kopp‐Schneider
1
+ PDF Chat The Medical Segmentation Decathlon 2022 Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
Annette Kopp‐Schneider
Bennett A. Landman
Geert Litjens
Bjoern Menze
Olaf Ronneberger
Ronald M. Summers
1
+ PDF Chat clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation 2021 Suprosanna Shit
Johannes C. Paetzold
Anjany Sekuboyina
Ivan Ezhov
Alexander Unger
Andrey Zhylka
Josien P. W. Pluim
Ulrich Bauer
Bjoern Menze
1
+ PDF Chat Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation 2021 Hongjun Chen
Jinbao Wang
Hongcai Chen
Xiantong Zhen
Feng Zheng
Rongrong Ji
Ling Shao
1
+ UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer 2022 Haonan Wang
Peng Cao
Jiaqi Wang
Osmar R. Zaı̈ane
1
+ PDF Chat Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT 2021 Dmitrii Lachinov
Philipp Seeböck
Julia Mai
Felix Goldbach
Ursula Schmidt‐Erfurth
Hrvoje Bogunović
1
+ PDF Chat RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network 2021 Sharif Amit Kamran
Khondker Fariha Hossain
Alireza Tavakkoli
Stewart Lee Zuckerbrod
Kenton M. Sanders
Salah A. Baker
1
+ blob loss: instance imbalance aware loss functions for semantic segmentation 2022 Florian Kofler
Suprosanna Shit
Ivan Ezhov
Lucas Fidon
Izabela Horvath
Rami Al-Maskari
Hongwei Li
Harsharan S. Bhatia
Timo Loehr
Marie Piraud
1
+ UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer 2021 Haonan Wang
Peng Cao
Jiaqi Wang
Osmar R. Zaı̈ane
1
+ Ranger21: a synergistic deep learning optimizer 2021 Less Wright
Nestor Demeure
1