Personal information

Emails & domains

Verified email domains

Websites & social links

Faculteit Medische Wetenschappen/UMCG profile page

Other IDs

Scopus Author ID: 57217078153
Scopus Author ID: 57217078153

Keywords

Medical Image Analysis, Radiation Oncology

Countries

China, Netherlands

Biography

University Medical Center Groningen, Beihang University, Northeastern University

Activities

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Employment (2)

Faculteit Medische Wetenschappen/UMCG: Groningen, NL

Employment
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University of Groningen

University Medical Center Groningen: Groningen, Groningen, NL

2020-03-01 to 2025-03-01 | Phd candidate (Radiation Oncology)
Employment
Source: Self-asserted source
Baoqiang Ma

Education and qualifications (1)

University Medical Center Groningen: Groningen, Groningen, NL

2021-03-01 to 2025-03-01 | Phd (Radiation Oncology)
Education
Source: Self-asserted source
Baoqiang Ma

Works (20)

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble

2025 | Book chapter
DOI: 10.1007/978-3-031-83274-1_13
Contributors: Frank N. Mol; Luuk van der Hoek; Baoqiang Ma; Bharath Chowdhary Nagam; Nanna M. Sijtsema; Lisanne V. van Dijk; Kerstin Bunte; Rifka Vlijm; Peter M. A. van Ooijen
Source: check_circle
Crossref

PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer

Radiotherapy and Oncology
2024-08 | Journal article
DOI: 10.1016/j.radonc.2024.110368
Contributors: Baoqiang Ma; Jiapan Guo; Alessia De Biase; Lisanne V. van Dijk; Peter M.A. van Ooijen; Johannes A. Langendijk; Stefan Both; Nanna M. Sijtsema
Source: check_circle
Crossref
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Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer

Computer Methods and Programs in Biomedicine
2024-02 | Journal article
DOI: 10.1016/j.cmpb.2023.107939
Contributors: Alessia De Biase; Baoqiang Ma; Jiapan Guo; Lisanne V. van Dijk; Johannes A. Langendijk; Stefan Both; Peter M.A. van Ooijen; Nanna M. Sijtsema
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Crossref
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MO-0062 External validation of radiomics and deep learning models for recurrence-free survival prediction, ESTRO 2023

2023 | Conference abstract | Author
SOURCE-WORK-ID:

d2135df4-e10d-4ba0-9ab0-f531915fd9d9
Contributors: Baoqiang Ma
Source: check_circle
University of Groningen

PD-0167 Predicted tumour probability maps improve deep learning outcome prediction in oropharyngeal cancer, ESTRO 2023

2023 | Conference abstract | Author
SOURCE-WORK-ID:

10f01c32-4ec5-4c34-8e0d-b53cc0c246c4
Contributors: Baoqiang Ma
Source: check_circle
University of Groningen

Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach

2023 | Book chapter
DOI: 10.1007/978-3-031-27420-6_12
Contributors: Hung Chu; Luis Ricardo De la O Arévalo; Wei Tang; Baoqiang Ma; Yan Li; Alessia De Biase; Stefan Both; Johannes Albertus Langendijk; Peter van Ooijen; Nanna Maria Sijtsema et al.
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Crossref
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TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer

Medical Imaging and Deep Learning, 10/07/2023
2023 | Conference paper | Author
SOURCE-WORK-ID:

ea09e62b-7eea-4cf0-9c33-c8c10da641d5
Contributors: Baoqiang Ma; Jiapan Guo; Lisanne van Dijk; Peter M.A. van Ooijen; Stefan Both; Nanna Maria Sijtsema
Source: check_circle
University of Groningen

Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer

Physics and Imaging in Radiation Oncology
2023-10 | Journal article
DOI: 10.1016/j.phro.2023.100502
Contributors: Baoqiang Ma; Jiapan Guo; Hung Chu; Lisanne V. van Dijk; Peter M.A. van Ooijen; Johannes A. Langendijk; Stefan Both; Nanna M. Sijtsema
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Crossref
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CT-based deep multi-label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma

Medical Physics
2023-10 | Journal article | Author
DOI: 10.1002/mp.16465
SOURCE-WORK-ID:

5673face-880c-450d-a7d2-f3b742553e1c

EID:

2-s2.0-85159887401

PMID: 37219816
Contributors: Baoqiang Ma; Jiapan Guo; Tian Tian Zhai; Arjen van der Schaaf; Roel Steenbakkers; Lisanne van Dijk; Stefan Both; Johannes A. Langendijk; Weichuan Zhang; Bingjiang Qiu et al.
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University of Groningen

Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3T MRI

IEEE Journal of Biomedical and Health Informatics
2023-10 | Journal article
DOI: 10.1109/JBHI.2023.3305377
Contributors: Xinwei Li; Linjin Wang; Hong Liu; Baoqiang Ma; Lei Chu; Xiaoxi Dong; Debin Zeng; Tongtong Che; Xiaoming Jiang; Wei Wang et al.
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Crossref
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Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients

Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings
2023-03-18 | Conference paper | Author
DOI: 10.1007/978-3-031-27420-6_24
SOURCE-WORK-ID:

d8d73d23-ccb1-4041-89e2-38a802278870

EID:

2-s2.0-85151058513

Part of ISBN: 9783031274190
Contributors: Baoqiang Ma; Yan Li; Hung Chu; wei tang; Luis Ricardo delaO-Arevalo; Jiapan Guo; Peter M.A. van Ooijen; Stefan Both; Johannes A. Langendijk; Lisanne van Dijk et al.
Source: check_circle
University of Groningen

PO-1777 Self-supervised image feature extraction for outcomes prediction in oropharyngeal cancer, ESTRO 2022

2022 | Conference abstract | Author
SOURCE-WORK-ID:

276f0783-03bb-4838-8644-0fe6bfd21c60
Contributors: Baoqiang Ma
Source: check_circle
University of Groningen

Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer

2022 | Book chapter
DOI: 10.1007/978-3-030-98253-9_29
Contributors: Baoqiang Ma; Jiapan Guo; Alessia De Biase; Nikos Sourlos; Wei Tang; Peter van Ooijen; Stefan Both; Nanna Maria Sijtsema
Source: check_circle
Crossref
grade
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Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images

2022 | Book chapter
DOI: 10.1007/978-3-030-98253-9_10
Contributors: Alessia De Biase; Wei Tang; Nikos Sourlos; Baoqiang Ma; Jiapan Guo; Nanna Maria Sijtsema; Peter van Ooijen
Source: check_circle
Crossref
grade
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Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework

Journal of Biomedical Informatics
2022-01 | Journal article
DOI: 10.1016/j.jbi.2021.103978
Part of ISSN: 1532-0464
Source: Self-asserted source
Baoqiang Ma
grade
Preferred source (of 2)‎

Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method

NeuroImage
2021 | Journal article
DOI: 10.1016/j.neuroimage.2021.118252
EID:

2-s2.0-85107678569

Part of ISSN: 10959572 10538119
Contributors: Wang, X.; Li, Q.; Zhao, Y.; He, Y.; Ma, B.; Fu, Z.; Li, S.
Source: Self-asserted source
Baoqiang Ma via Scopus - Elsevier

Feature level-based group lasso method for amnestic mild cognitive impairment diagnosis

Computer Methods and Programs in Biomedicine
2021 | Journal article
DOI: 10.1016/j.cmpb.2021.106286
EID:

2-s2.0-85111076542

Part of ISSN: 18727565 01692607
Contributors: Jin, L.; Du, W.; Ma, B.; Zeng, D.; Han, Y.; Li, S.
Source: Self-asserted source
Baoqiang Ma via Scopus - Elsevier

Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network

IEEE Journal of Biomedical and Health Informatics
2021 | Journal article
DOI: 10.1109/JBHI.2020.3006925
EID:

2-s2.0-85102240708

Part of ISSN: 21682208 21682194
Contributors: Zhao, Y.; Ma, B.; Jiang, P.; Zeng, D.; Wang, X.; Li, S.
Source: Self-asserted source
Baoqiang Ma via Scopus - Elsevier

Hippocampus Segmentation for Preterm and Aging Brains Using 3D Densely Connected Fully Convolutional Networks

IEEE Access
2020 | Journal article
DOI: 10.1109/ACCESS.2020.2993504
Contributors: Debin Zeng; Qiongling Li; Baoqiang Ma; Shuyu Li
Source: check_circle
Crossref
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MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation

Computerized Medical Imaging and Graphics
2020 | Journal article
DOI: 10.1016/j.compmedimag.2020.101800
EID:

2-s2.0-85094326545

Part of ISSN: 18790771 08956111
Contributors: Ma, B.; Zhao, Y.; Yang, Y.; Zhang, X.; Dong, X.; Zeng, D.; Ma, S.; Li, S.
Source: Self-asserted source
Baoqiang Ma via Scopus - Elsevier
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