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BibTeX records: Ling Huang 0003
@article{DBLP:journals/inffus/GaoHLPHFL26,
author = {Zhan Gao and
Ling Huang and
Qika Lin and
Bin Pu and
Kai He and
Mengling Feng and
Kenli Li},
title = {Domain-continual learning for multi-center anatomical detection via
prompt-enhanced and densely-fused MedSAM},
journal = {Inf. Fusion},
volume = {126},
pages = {103614},
year = {2026},
url = {https://doi.org/10.1016/j.inffus.2025.103614},
doi = {10.1016/J.INFFUS.2025.103614},
timestamp = {Tue, 14 Oct 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/inffus/GaoHLPHFL26.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijar/HuangXMDF25,
author = {Ling Huang and
Yucheng Xing and
Swapnil Mishra and
Thierry Denoeux and
Mengling Feng},
title = {Evidential time-to-event prediction with calibrated uncertainty quantification},
journal = {Int. J. Approx. Reason.},
volume = {181},
pages = {109403},
year = {2025},
url = {https://doi.org/10.1016/j.ijar.2025.109403},
doi = {10.1016/J.IJAR.2025.109403},
timestamp = {Tue, 01 Apr 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijar/HuangXMDF25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/inffus/HuangRDD25,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Deep evidential fusion with uncertainty quantification and reliability
learning for multimodal medical image segmentation},
journal = {Inf. Fusion},
volume = {113},
pages = {102648},
year = {2025},
url = {https://doi.org/10.1016/j.inffus.2024.102648},
doi = {10.1016/J.INFFUS.2024.102648},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/inffus/HuangRDD25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/inffus/LinZMHMHPCF25,
author = {Qika Lin and
Yifan Zhu and
Xin Mei and
Ling Huang and
Jingying Ma and
Kai He and
Zhen Peng and
Erik Cambria and
Mengling Feng},
title = {Has multimodal learning delivered universal intelligence in healthcare?
{A} comprehensive survey},
journal = {Inf. Fusion},
volume = {116},
pages = {102795},
year = {2025},
url = {https://doi.org/10.1016/j.inffus.2024.102795},
doi = {10.1016/J.INFFUS.2024.102795},
timestamp = {Tue, 01 Apr 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/inffus/LinZMHMHPCF25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/acl/LinZ00X0MF25,
author = {Qika Lin and
Tianzhe Zhao and
Kai He and
Zhen Peng and
Fangzhi Xu and
Ling Huang and
Jingying Ma and
Mengling Feng},
editor = {Wanxiang Che and
Joyce Nabende and
Ekaterina Shutova and
Mohammad Taher Pilehvar},
title = {Self-supervised Quantized Representation for Seamlessly Integrating
Knowledge Graphs with Large Language Models},
booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers), {ACL} 2025, Vienna, Austria,
July 27 - August 1, 2025},
pages = {13587--13602},
publisher = {Association for Computational Linguistics},
year = {2025},
url = {https://aclanthology.org/2025.acl-long.667/},
timestamp = {Sun, 02 Nov 2025 21:27:24 +0100},
biburl = {https://dblp.org/rec/conf/acl/LinZ00X0MF25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2501-04389,
author = {Yucheng Ruan and
Daniel J. Tan and
See{-}Kiong Ng and
Ling Huang and
Mengling Feng},
title = {Evidence-based multimodal fusion on structured EHRs and free-text
notes for {ICU} outcome prediction},
journal = {CoRR},
volume = {abs/2501.04389},
year = {2025},
url = {https://doi.org/10.48550/arXiv.2501.04389},
doi = {10.48550/ARXIV.2501.04389},
eprinttype = {arXiv},
eprint = {2501.04389},
timestamp = {Tue, 18 Feb 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2501-04389.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2501-18119,
author = {Qika Lin and
Tianzhe Zhao and
Kai He and
Zhen Peng and
Fangzhi Xu and
Ling Huang and
Jingying Ma and
Mengling Feng},
title = {Self-supervised Quantized Representation for Seamlessly Integrating
Knowledge Graphs with Large Language Models},
journal = {CoRR},
volume = {abs/2501.18119},
year = {2025},
url = {https://doi.org/10.48550/arXiv.2501.18119},
doi = {10.48550/ARXIV.2501.18119},
eprinttype = {arXiv},
eprint = {2501.18119},
timestamp = {Mon, 03 Mar 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2501-18119.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2509-03906,
author = {Qika Lin and
Yifan Zhu and
Bin Pu and
Ling Huang and
Haoran Luo and
Jingying Ma and
Zhen Peng and
Tianzhe Zhao and
Fangzhi Xu and
Jian Zhang and
Kai He and
Zhonghong Ou and
Swapnil Mishra and
Mengling Feng},
title = {A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning
via Online Reinforcement Learning},
journal = {CoRR},
volume = {abs/2509.03906},
year = {2025},
url = {https://doi.org/10.48550/arXiv.2509.03906},
doi = {10.48550/ARXIV.2509.03906},
eprinttype = {arXiv},
eprint = {2509.03906},
timestamp = {Mon, 13 Oct 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2509-03906.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2510-00053,
author = {Yucheng Xing and
Ling Huang and
Jingying Ma and
Ruping Hong and
Jiangdong Qiu and
Pei Liu and
Kai He and
Huazhu Fu and
Mengling Feng},
title = {DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and
Interpretable Whole-Slide Image Survival Prediction},
journal = {CoRR},
volume = {abs/2510.00053},
year = {2025},
url = {https://doi.org/10.48550/arXiv.2510.00053},
doi = {10.48550/ARXIV.2510.00053},
eprinttype = {arXiv},
eprint = {2510.00053},
timestamp = {Mon, 17 Nov 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2510-00053.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/mia/HuangRXF24,
author = {Ling Huang and
Su Ruan and
Yucheng Xing and
Mengling Feng},
title = {A review of uncertainty quantification in medical image analysis:
Probabilistic and non-probabilistic methods},
journal = {Medical Image Anal.},
volume = {97},
pages = {103223},
year = {2024},
url = {https://doi.org/10.1016/j.media.2024.103223},
doi = {10.1016/J.MEDIA.2024.103223},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/mia/HuangRXF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/belief/HuangXDF24,
author = {Ling Huang and
Yucheng Xing and
Thierry Denoeux and
Mengling Feng},
editor = {Yaxin Bi and
Anne{-}Laure Jousselme and
Thierry Denoeux},
title = {An Evidential Time-to-Event Prediction Model Based on Gaussian Random
Fuzzy Numbers},
booktitle = {Belief Functions: Theory and Applications - 8th International Conference,
{BELIEF} 2024, Belfast, UK, September 2-4, 2024, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {14909},
pages = {49--57},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-67977-3\_6},
doi = {10.1007/978-3-031-67977-3\_6},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/belief/HuangXDF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/belief/RuanHXF24,
author = {Yucheng Ruan and
Ling Huang and
Qianyi Xu and
Mengling Feng},
editor = {Yaxin Bi and
Anne{-}Laure Jousselme and
Thierry Denoeux},
title = {An Evidence-Based Framework For Heterogeneous Electronic Health Records:
{A} Case Study In Mortality Prediction},
booktitle = {Belief Functions: Theory and Applications - 8th International Conference,
{BELIEF} 2024, Belfast, UK, September 2-4, 2024, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {14909},
pages = {78--86},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-67977-3\_9},
doi = {10.1007/978-3-031-67977-3\_9},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/belief/RuanHXF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2406-13487,
author = {Ling Huang and
Yucheng Xing and
Thierry Denoeux and
Mengling Feng},
title = {An evidential time-to-event prediction model based on Gaussian random
fuzzy numbers},
journal = {CoRR},
volume = {abs/2406.13487},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2406.13487},
doi = {10.48550/ARXIV.2406.13487},
eprinttype = {arXiv},
eprint = {2406.13487},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2406-13487.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2408-12880,
author = {Qika Lin and
Yifan Zhu and
Xin Mei and
Ling Huang and
Jingying Ma and
Kai He and
Zhen Peng and
Erik Cambria and
Mengling Feng},
title = {Has Multimodal Learning Delivered Universal Intelligence in Healthcare?
{A} Comprehensive Survey},
journal = {CoRR},
volume = {abs/2408.12880},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2408.12880},
doi = {10.48550/ARXIV.2408.12880},
eprinttype = {arXiv},
eprint = {2408.12880},
timestamp = {Mon, 03 Mar 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2408-12880.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2411-07853,
author = {Ling Huang and
Yucheng Xing and
Swapnil Mishra and
Thierry Denoeux and
Mengling Feng},
title = {Evidential time-to-event prediction model with well-calibrated uncertainty
estimation},
journal = {CoRR},
volume = {abs/2411.07853},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2411.07853},
doi = {10.48550/ARXIV.2411.07853},
eprinttype = {arXiv},
eprint = {2411.07853},
timestamp = {Wed, 01 Jan 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2411-07853.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2412-01215,
author = {Ling Huang and
Yucheng Xing and
Qika Lin and
Su Ruan and
Mengling Feng},
title = {EsurvFusion: An evidential multimodal survival fusion model based
on Gaussian random fuzzy numbers},
journal = {CoRR},
volume = {abs/2412.01215},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2412.01215},
doi = {10.48550/ARXIV.2412.01215},
eprinttype = {arXiv},
eprint = {2412.01215},
timestamp = {Sun, 12 Jan 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2412-01215.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/hal/Huang23b,
author = {Ling Huang},
title = {Medical image segmentation with belief function theory and deep learning.
(Segmentation d'images m{\'{e}}dicales avec la th{\'{e}}orie
de la fonction de croyance et l'apprentissage en profondeur)},
school = {University of Technology of Compi{\`{e}}gne, France},
year = {2023},
url = {https://tel.archives-ouvertes.fr/tel-04669955},
timestamp = {Sat, 07 Dec 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/phd/hal/Huang23b.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/HuangRD23,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Semi-supervised multiple evidence fusion for brain tumor segmentation},
journal = {Neurocomputing},
volume = {535},
pages = {40--52},
year = {2023},
url = {https://doi.org/10.1016/j.neucom.2023.02.047},
doi = {10.1016/J.NEUCOM.2023.02.047},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijon/HuangRD23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/inffus/HuangRD23,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Application of belief functions to medical image segmentation: {A}
review},
journal = {Inf. Fusion},
volume = {91},
pages = {737--756},
year = {2023},
url = {https://doi.org/10.1016/j.inffus.2022.11.008},
doi = {10.1016/J.INFFUS.2022.11.008},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/inffus/HuangRD23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2309-05919,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Deep evidential fusion with uncertainty quantification and contextual
discounting for multimodal medical image segmentation},
journal = {CoRR},
volume = {abs/2309.05919},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2309.05919},
doi = {10.48550/ARXIV.2309.05919},
eprinttype = {arXiv},
eprint = {2309.05919},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2309-05919.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-06873,
author = {Ling Huang and
Su Ruan and
Yucheng Xing and
Mengling Feng},
title = {A review of uncertainty quantification in medical image analysis:
probabilistic and non-probabilistic methods},
journal = {CoRR},
volume = {abs/2310.06873},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.06873},
doi = {10.48550/ARXIV.2310.06873},
eprinttype = {arXiv},
eprint = {2310.06873},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-06873.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijar/HuangRDD22,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Lymphoma segmentation from 3D {PET-CT} images using a deep evidential
network},
journal = {Int. J. Approx. Reason.},
volume = {149},
pages = {39--60},
year = {2022},
url = {https://doi.org/10.1016/j.ijar.2022.06.007},
doi = {10.1016/J.IJAR.2022.06.007},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijar/HuangRDD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/miccai/HuangDVR22,
author = {Ling Huang and
Thierry Denoeux and
Pierre Vera and
Su Ruan},
editor = {Linwei Wang and
Qi Dou and
P. Thomas Fletcher and
Stefanie Speidel and
Shuo Li},
title = {Evidence Fusion with Contextual Discounting for Multi-modality Medical
Image Segmentation},
booktitle = {Medical Image Computing and Computer Assisted Intervention - {MICCAI}
2022 - 25th International Conference, Singapore, September 18-22,
2022, Proceedings, Part {V}},
series = {Lecture Notes in Computer Science},
volume = {13435},
pages = {401--411},
publisher = {Springer},
year = {2022},
url = {https://doi.org/10.1007/978-3-031-16443-9\_39},
doi = {10.1007/978-3-031-16443-9\_39},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/miccai/HuangDVR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-13078,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Lymphoma segmentation from 3D {PET-CT} images using a deep evidential
network},
journal = {CoRR},
volume = {abs/2201.13078},
year = {2022},
url = {https://arxiv.org/abs/2201.13078},
eprinttype = {arXiv},
eprint = {2201.13078},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-13078.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-01733,
author = {Ling Huang and
Su Ruan},
title = {Application of belief functions to medical image segmentation: {A}
review},
journal = {CoRR},
volume = {abs/2205.01733},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2205.01733},
doi = {10.48550/ARXIV.2205.01733},
eprinttype = {arXiv},
eprint = {2205.01733},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2205-01733.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-11739,
author = {Ling Huang and
Thierry Denoeux and
Pierre Vera and
Su Ruan},
title = {Evidence fusion with contextual discounting for multi-modality medical
image segmentation},
journal = {CoRR},
volume = {abs/2206.11739},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2206.11739},
doi = {10.48550/ARXIV.2206.11739},
eprinttype = {arXiv},
eprint = {2206.11739},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2206-11739.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/belief/HuangRDD21,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
editor = {Thierry Denoeux and
Eric Lef{\`{e}}vre and
Zhunga Liu and
Fr{\'{e}}d{\'{e}}ric Pichon},
title = {Evidential Segmentation of 3D {PET/CT} Images},
booktitle = {Belief Functions: Theory and Applications - 6th International Conference,
{BELIEF} 2021, Shanghai, China, October 15-19, 2021, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {12915},
pages = {159--167},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-88601-1\_16},
doi = {10.1007/978-3-030-88601-1\_16},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/belief/HuangRDD21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bibe2/HuangRD21,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Covid-19 Classification with Deep Neural Network and Belief Functions},
booktitle = {{BIBE} 2021: The Fifth International Conference on Biological Information
and Biomedical Engineering, Hangzhou, China, July 20-22, 2021},
pages = {3:1--3:4},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3469678.3469719},
doi = {10.1145/3469678.3469719},
timestamp = {Sun, 19 Jan 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/bibe2/HuangRD21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/isbi/HuangRD21,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation},
booktitle = {18th {IEEE} International Symposium on Biomedical Imaging, {ISBI}
2021, Nice, France, April 13-16, 2021},
pages = {160--164},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/ISBI48211.2021.9433885},
doi = {10.1109/ISBI48211.2021.9433885},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/isbi/HuangRD21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/miccai/HuangDTDR21,
author = {Ling Huang and
Thierry Denoeux and
David Tonnelet and
Pierre Decazes and
Su Ruan},
editor = {Chunfeng Lian and
Xiaohuan Cao and
Islem Rekik and
Xuanang Xu and
Pingkun Yan},
title = {Deep {PET/CT} Fusion with Dempster-Shafer Theory for Lymphoma Segmentation},
booktitle = {Machine Learning in Medical Imaging - 12th International Workshop,
{MLMI} 2021, Held in Conjunction with {MICCAI} 2021, Strasbourg, France,
September 27, 2021, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {12966},
pages = {30--39},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-87589-3\_4},
doi = {10.1007/978-3-030-87589-3\_4},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/miccai/HuangDTDR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2101-06958,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Covid-19 classification with deep neural network and belief functions},
journal = {CoRR},
volume = {abs/2101.06958},
year = {2021},
url = {https://arxiv.org/abs/2101.06958},
eprinttype = {arXiv},
eprint = {2101.06958},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2101-06958.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2102-00097,
author = {Ling Huang and
Su Ruan and
Thierry Denoeux},
title = {Belief function-based semi-supervised learning for brain tumor segmentation},
journal = {CoRR},
volume = {abs/2102.00097},
year = {2021},
url = {https://arxiv.org/abs/2102.00097},
eprinttype = {arXiv},
eprint = {2102.00097},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2102-00097.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2104-13293,
author = {Ling Huang and
Su Ruan and
Pierre Decazes and
Thierry Denoeux},
title = {Evidential segmentation of 3D {PET/CT} images},
journal = {CoRR},
volume = {abs/2104.13293},
year = {2021},
url = {https://arxiv.org/abs/2104.13293},
eprinttype = {arXiv},
eprint = {2104.13293},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2104-13293.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2108-05422,
author = {Ling Huang and
Thierry Denoeux and
David Tonnelet and
Pierre Decazes and
Su Ruan},
title = {Deep {PET/CT} fusion with Dempster-Shafer theory for lymphoma segmentation},
journal = {CoRR},
volume = {abs/2108.05422},
year = {2021},
url = {https://arxiv.org/abs/2108.05422},
eprinttype = {arXiv},
eprint = {2108.05422},
timestamp = {Tue, 12 Nov 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2108-05422.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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