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Huangjing Lin
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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) - [i13]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) - 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 2024-08-21 21:33 CEST by the dblp team
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