CW
Chunliang Wang
Algorithmscs.CVdeep learningDeep learningDeep LearningImage Processing, Computer-Assistedartificial intelligencecs.LGeess.IVImaging, Three-Dimensional
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
60 papers in the corpus · 2007–2026Reference values for epicardial adipose tissue: data from 27,500 CT scans in the general population and symptomatic patients.42710424 · Molnar, David, Wang, Chunliang, Maaniitty, Teemu et al.2026 · 0 citationsEuropean journal of radiology. 2026;205:113221
Incremental Predictive Value of Deep Learning-Quantified Coronary Atherosclerotic Volume: A SCAPIS Cohort Analysis.42663364 · Malmqvist, Johan, Wang, Chunliang, Bergström, Göran et al.2026 · 2 citationsJACC. Cardiovascular imaging. 2026
Editorial: Artificial intelligence advancing lung cancer screening and treatment.42344685 · Zheng, Sunyi, Sijtsema, Nanna Maria, Wang, Chunliang et al.2026 · 0 citationsFrontiers in oncology. 2026;16:1890285
Development and validation of a novel deep learning coronary artery plaque quantification model.42135689 · Malmqvist, Johan, Jernberg, Tomas, Vedad, Ramtin et al.2026 · 1 citationBMC medical imaging. 2026;26(1)
Comparative Evaluation of Resting and Hyperemic Angiography-Derived Index of Microcirculatory Resistance in Chronic Coronary Syndrome.40689504 · Zhang, Yang, Li, Quan, Ye, Yicong et al.2025 · 3 citationsJournal of the American Heart Association. 2025;14(15):e040173
Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge.40030351 · Xu, Jiangchang, Gao, Jie, Jiang, Shuanglin et al.2025 · 3 citationsIEEE journal of biomedical and health informatics. 2025;29(3):1995-2005
Lung vessel connectivity map as anatomical prior knowledge for deep learning-based lung lobe segmentation.38988990 · Bendazzoli, Simone, Bäcklin, Emelie, Smedby, Örjan et al.2025 · 1 citationJournal of medical imaging (Bellingham, Wash.). 2024;11(4):044001
Machine learning slice-wise whole-lung CT emphysema score correlates with airway obstruction.37552259 · Lidén, Mats, Spahr, Antoine, Hjelmgren, Ola et al.2024 · 4 citationsEuropean radiology. 2024;34(1):39-49
Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans.37554648 · Spahr, Antoine, Ståhle, Jennifer, Wang, Chunliang et al.2023 · 10 citationsFrontiers in neuroimaging. 2023;2:1157565
Automatic segmentation of orbital wall from CT images via a thin wall region supervision-based multi-scale feature search network.37219805 · Xu, Jiangchang, Zhang, Dingzhong, Wang, Chunliang et al.2026 · 8 citationsInternational journal of computer assisted radiology and surgery. 2023;18(11):2051-2062
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection2305.12358v1 · Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh et al.2023 · 4 citationsarXiv
Automatic estimation of the cross-sectional area of the waist of the nerve fibre layer at the optic nerve head.37208926 · Kisonaite, Konstancija, Yu, Zhaohua, Raeme, Faisal et al.2024 · 1 citationActa ophthalmologica. 2024;102(1):91-98
The humanised CYP2C19 transgenic mouse exhibits cerebellar atrophy and movement impairment reminiscent of ataxia.36536486 · Milosavljević, Filip, Brusini, Irene, Atanasov, Andrea et al.2023 · 4 citationsNeuropathology and applied neurobiology. 2023;49(1):e12867
The Liver Tumor Segmentation Benchmark (LiTS).36481607 · Bilic, Patrick, Christ, Patrick, Li, Hongwei Bran et al.2023 · 1,394 citationsMedical image analysis. 2023;84:102680
A review on AI-based medical image computing in head and neck surgery.35878613 · Xu, Jiangchang, Zeng, Bolun, Egger, Jan et al.2022 · 34 citationsPhysics in medicine and biology. 2022;67(17)
Prior-aware autoencoders for lung pathology segmentation.35653902 · Astaraki, Mehdi, Smedby, Örjan, Wang, Chunliang2022 · 31 citationsMedical image analysis. 2022;80:102491
Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis.35083815 · Brusini, Irene, Platten, Michael, Ouellette, Russell et al.2022 · 17 citationsJournal of neuroimaging : official journal of the American Society of Neuroimaging. 2022;32(3):459-470
Humanized CYP2C19 transgenic mouse as an animal model of cerebellar ataxia10.1101/2022.01.10.475612v1 · Milosavljevic, F., Brusini, I., Atanasov, A. et al.2022 · 0 citationsbioRxiv
Real-Time Cerebral Vessel Segmentation in Laser Speckle Contrast Image Based on Unsupervised Domain Adaptation.34916898 · Chen, Heping, Shi, Yan, Bo, Bin et al.2023 · 12 citationsFrontiers in neuroscience. 2021;15:755198
MRI-derived brain age as a biomarker of ageing in rats: validation using a healthy lifestyle intervention.34775211 · Brusini, Irene, MacNicol, Eilidh, Kim, Eugene et al.2022 · 17 citationsNeurobiology of aging. 2022;109:204-215
Diagnostic performance of CT-derived resting distal to aortic pressure ratio (resting Pd/Pa) vs. CT-derived fractional flow reserve (CT-FFR) in coronary lesion severity assessment.34733942 · Li, Quan, Zhang, Yang, Wang, Chunliang et al.2024 · 6 citationsAnnals of translational medicine. 2021;9(17):1390
Benign-malignant pulmonary nodule classification in low-dose CT with convolutional features.33774339 · Astaraki, Mehdi, Zakko, Yousuf, Toma Dasu, Iuliana et al.2021 · 53 citationsPhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 2021;83:146-153
Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures.33627045 · Zdolsek, Georg, Chen, Yupei, Bögl, Hans-Peter et al.2021 · 21 citationsActa orthopaedica. 2021;92(4):394-400
Deep Learning Corpus Callosum Segmentation as a Neurodegenerative Marker in Multiple Sclerosis.33587820 · Platten, Michael, Brusini, Irene, Andersson, Olle et al.2021 · 28 citationsJournal of neuroimaging : official journal of the American Society of Neuroimaging. 2021;31(3):493-500
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT2012.14752v2 · Simone Bendazzoli, Irene Brusini, Mehdi Astaraki et al.2020 · 1 citationarXiv
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification2006.14715v1 · Amirreza Mahbod, Gerald Schaefer, Chunliang Wang et al.2020 · 29 citationsarXiv
A deep learning-based pipeline for error detection and quality control of brain MRI segmentation results2005.13987v1 · Irene Brusini, Daniel Ferreira Padilla, Jos'e Barroso et al.2020 · 4 citationsarXiv
Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.32268255 · Mahbod, Amirreza, Schaefer, Gerald, Wang, Chunliang et al.2021 · 314 citationsComputer methods and programs in biomedicine. 2020;193:105475
Shape Information Improves the Cross-Cohort Performance of Deep Learning-Based Segmentation of the Hippocampus.32226359 · Brusini, Irene, Lindberg, Olof, Muehlboeck, J-Sebastian et al.2020 · 29 citationsFrontiers in neuroscience. 2020;14:15
A Multi-Organ Nucleus Segmentation Challenge.31647422 · Kumar, Neeraj, Verma, Ruchika, Anand, Deepak et al.2021 · 559 citationsIEEE transactions on medical imaging. 2020;39(5):1380-1391
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.31446280 · Zhuang, Xiahai, Li, Lei, Payer, Christian et al.2020 · 364 citationsMedical image analysis. 2019;58:101537
Early survival prediction in non-small cell lung cancer from PET/CT images using an intra-tumor partitioning method.31000087 · Astaraki, Mehdi, Wang, Chunliang, Buizza, Giulia et al.2019 · 47 citationsPhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 2019;60:58-65
AVRA: Automatic visual ratings of atrophy from MRI images using recurrent convolutional neural networks.31154242 · Mårtensson, Gustav, Ferreira, Daniel, Cavallin, Lena et al.2020 · 31 citationsNeuroImage. Clinical. 2019;23:101872
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
Fusing fine-tuned deep features for skin lesion classification.30458354 · Mahbod, Amirreza, Schaefer, Gerald, Ellinger, Isabella et al.2020 · 265 citationsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2019;71:19-29
An oral and maxillofacial navigation system for implant placement with automatic identification of fiducial points.30317436 · Qin, Chunxia, Cao, Zhenggang, Fan, Shengchi et al.2019 · 34 citationsInternational journal of computer assisted radiology and surgery. 2019;14(2):281-289
Early tumor response prediction for lung cancer patients using novel longitudinal pattern features from sequential PET/CT image scans.30337006 · Buizza, Giulia, Toma-Dasu, Iuliana, Lazzeroni, Marta et al.2018 · 47 citationsPhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 2018;54:21-29
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure.30209345 · Commowick, Olivier, Istace, Audrey, Kain, Michaël et al.2019 · 280 citationsScientific reports. 2018;8(1):13650
Changes in brain architecture are consistent with altered fear processing in domestic rabbits.29941556 · Brusini, Irene, Carneiro, Miguel, Wang, Chunliang et al.2018 · 66 citationsProceedings of the National Academy of Sciences of the United States of America. 2018;115(28):7380-7385
Skin Lesion Classification Using Hybrid Deep Neural Networks1702.08434v2 · Amirreza Mahbod, Gerald Schaefer, Chunliang Wang et al.2017 · 312 citationsarXiv
A Study of Coronary Bifurcation Shape in a Normal Population.28028693 · Medrano-Gracia, Pau, Ormiston, John, Webster, Mark et al.2017 · 33 citationsJournal of cardiovascular translational research. 2017;10(1):82-90
A computational atlas of normal coronary artery anatomy.27639736 · Medrano-Gracia, Pau, Ormiston, John, Webster, Mark et al.2017 · 83 citationsEuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology. 2016;12(7):845-54
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.27567734 · Zheng, Guoyan, Chu, Chengwen, Belavý, Daniel L et al.2018 · 74 citationsMedical image analysis. 2017;35:327-344
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.27305669 · Jimenez-Del-Toro, Oscar, Muller, Henning, Krenn, Markus et al.2017 · 162 citationsIEEE transactions on medical imaging. 2016;35(11):2459-2475
Superficial vessel reconstruction with a multiview camera system.26759814 · Marreiros, Filipe M M, Rossitti, Sandro, Karlsson, Per M et al.2016 · 6 citationsJournal of medical imaging (Bellingham, Wash.). 2016;3(1):015001
Erratum: Superficial vessel reconstruction with a Multiview camera system.26889495 · Marreiros, Filipe M M, Rossitti, Sandro, Karlsson, Per M et al.2016 · 2 citationsJournal of medical imaging (Bellingham, Wash.). 2016;3(1):019801
How to measure renal artery stenosis--a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance.26459634 · Andersson, Malin, Jägervall, Karl, Eriksson, Per et al.2016 · 14 citationsBMC medical imaging. 2015;15:42
CT scan range estimation using multiple body parts detection: let PACS learn the CT image content.26137895 · Wang, Chunliang, Lundström, Claes2016 · 3 citationsInternational journal of computer assisted radiology and surgery. 2016;11(2):317-25
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.26759553 · Mendrik, Adriënne M, Vincken, Koen L, Kuijf, Hugo J et al.2016 · 261 citationsComputational intelligence and neuroscience. 2015;2015:813696
Fast level-set based image segmentation using coherent propagation.24989415 · Wang, Chunliang, Frimmel, Hans, Smedby, Örjan2015 · 45 citationsMedical physics. 2014;41(7):073501
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