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2020 – today
- 2024
[j7]Zhizhong Chai
, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. IEEE Trans. Medical Imaging 43(5): 1972-1982 (2024)- [i15]Yingxue Xu, Yihui Wang, Fengtao Zhou, Jiabo Ma, Shu Yang, Huangjing Lin, Xin Wang, Jiguang Wang, Li Liang, Anjia Han, Ronald Cheong Kin Chan, Hao Chen:
A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model. CoRR abs/2407.15362 (2024) - [i14]Hao Jiang, Runsheng Liu, Yanning Zhou, Huangjing Lin, Hao Chen:
Holistic and Historical Instance Comparison for Cervical Cell Detection. CoRR abs/2409.13987 (2024) - [i13]Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang, Hao Chen:
GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation. CoRR abs/2409.13988 (2024) - 2023
- [i12]Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. CoRR abs/2305.19063 (2023) - [i11]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR abs/2306.13301 (2023) - 2022
- [c11]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng:
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI 2022: 1-5 - [c10]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. MICCAI (3) 2022: 238-248 - [i10]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans. CoRR abs/2207.01842 (2022) - 2021
- [j6]Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, Pheng-Ann Heng:
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis. Medical Image Anal. 69: 101955 (2021) - [j5]Xi Wang, Hao Chen, Huiling Xiang, Huangjing Lin, Xi Lin, Pheng-Ann Heng:
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification. Medical Image Anal. 70: 102010 (2021) - [c9]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. MICCAI (2) 2021: 199-209 - [c8]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. MICCAI (2) 2021: 537-548 - [i9]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. CoRR abs/2104.03218 (2021) - [i8]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. CoRR abs/2104.03225 (2021) - [i7]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. CoRR abs/2104.03265 (2021) - 2020
- [j4]Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng:
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis. IEEE Trans. Cybern. 50(9): 3950-3962 (2020) - [c7]Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. MICCAI (1) 2020: 521-531 - [i6]Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. CoRR abs/2007.10787 (2020) - [i5]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. CoRR abs/2010.06440 (2020)
2010 – 2019
- 2019
- [j3]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. Medical Image Anal. 58 (2019) - [j2]Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - [j1]Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir M. Rajpoot, Pheng-Ann Heng:
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. IEEE Trans. Medical Imaging 38(8): 1948-1958 (2019) - [c6]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. MICCAI (4) 2019: 504-512 - [c5]Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. MICCAI (1) 2019: 586-594 - [i4]Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. CoRR abs/1905.01040 (2019) - [i3]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. CoRR abs/1906.02999 (2019) - 2018
- [c4]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. WACV 2018: 539-546 - 2017
- [c3]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. MICCAI (3) 2017: 630-638 - [i2]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. CoRR abs/1707.09597 (2017) - [i1]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. CoRR abs/1708.03867 (2017) - 2014
- [c2]Liansheng Wang, Huangjing Lin, Xiaoyang Huang, Boliang Wang, Yiping Chen:
A 3D Segmentation and Visualization Scheme for Solid and Non-solid Lung Lesions Based on Gaussian Filtering Regularized Level Set. 3DV (Workshops) 2014: 67-74 - [c1]Liansheng Wang, Yiping Chen, Huangjing Lin, Dong Ni:
Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block. CLIP@MICCAI 2014: 68-75
Coauthor Index
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last updated on 2024-10-18 19:32 CEST by the dblp team
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