Ma, Baoqiang
199  Ergebnisse:
Personensuche X
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2

Deep learning-based outcome prediction using PET/CT and aut..:

De Biase, Alessia ; Ma, Baoqiang ; Guo, Jiapan...
Computer Methods and Programs in Biomedicine.  244 (2024)  - p. 107939 , 2024
 
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3

Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field..:

Li, Xinwei ; Wang, Linjin ; Liu, Hong...
IEEE Journal of Biomedical and Health Informatics.  27 (2023)  10 - p. 4866-4877 , 2023
 
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4

Swin UNETR for Tumor and Lymph Node Segmentation Using 3D P..:

, In: Lecture Notes in Computer Science; Head and Neck Tumor Segmentation and Outcome Prediction,
 
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6

Comparison of computed tomography image features extracted ..:

Ma, Baoqiang ; Guo, Jiapan ; Chu, Hung...
Physics and Imaging in Radiation Oncology.  28 (2023)  - p. 100502 , 2023
 
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7

Deep Learning and Radiomics Based PET/CT Image Feature Extr..:

, In: Lecture Notes in Computer Science; Head and Neck Tumor Segmentation and Outcome Prediction,
Ma, Baoqiang ; Li, Yan ; Chu, Hung... - p. 240-254 , 2023
 
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9

Multi-view prediction of Alzheimer's disease progression wi..:

Zhao, Yan ; Ma, Baoqiang ; Che, Tongtong...
Journal of Biomedical Informatics.  125 (2022)  - p. 103978 , 2022
 
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10

Skip-SCSE Multi-scale Attention and Co-learning Method for ..:

, In: Lecture Notes in Computer Science; Head and Neck Tumor Segmentation and Outcome Prediction,
De Biase, Alessia ; Tang, Wei ; Sourlos, Nikos... - p. 109-120 , 2022
 
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11

Self-supervised Multi-modality Image Feature Extraction for..:

, In: Lecture Notes in Computer Science; Head and Neck Tumor Segmentation and Outcome Prediction,
Ma, Baoqiang ; Guo, Jiapan ; De Biase, Alessia... - p. 308-317 , 2022
 
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14

Feature level-based group lasso method for amnestic mild co..:

Jin, Leiming ; Du, Wenying ; Ma, Baoqiang...
Computer Methods and Programs in Biomedicine.  208 (2021)  - p. 106286 , 2021
 
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