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2020 – today
- 2025
[j20]Samiksha Pachade
, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau:
RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. 99: 103365 (2025)- [e1]Zhongying Deng, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I. Avilés-Rivero, Junjun He, Shaoting Zhang:
Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15184, Springer 2025, ISBN 978-3-031-73470-0 [contents] - 2024
- [j19]Li'ao Quan, Shuanggen Jin, Jianxin Zhang, Junyun Chen, Junjun He:
Subsidence Characteristics in North Anhui Coal Mining Areas Using Space-Air-Ground Collaborative Observations. Sensors 24(12): 3869 (2024) - [c34]Chong Wang, Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model. AIME (2) 2024: 81-89 - [c33]Bin Fu, Fanghua Yu, Anran Liu, Zixuan Wang, Jie Wen, Junjun He, Yu Qiao:
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models. CVPR 2024: 6892-6901 - [c32]Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo:
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. CVPR 2024: 22170-22183 - [c31]Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. ICML 2024 - [c30]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. MICCAI (9) 2024: 552-561 - [i41]Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. CoRR abs/2402.05935 (2024) - [i40]Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo:
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. CoRR abs/2402.09181 (2024) - [i39]Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang:
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR abs/2402.18028 (2024) - [i38]Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang:
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. CoRR abs/2406.05540 (2024) - [i37]Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Zhenxiang Li, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Zhongying Tu, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai:
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. CoRR abs/2406.08418 (2024) - [i36]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. CoRR abs/2407.04938 (2024) - [i35]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. CoRR abs/2408.03361 (2024) - [i34]Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang:
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. CoRR abs/2408.15299 (2024) - [i33]Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen:
A Survey for Large Language Models in Biomedicine. CoRR abs/2409.00133 (2024) - [i32]Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. CoRR abs/2409.01184 (2024) - 2023
- [j18]Yanzhou Su, Jian Cheng, Chuqiao Zhong, Yijie Zhang, Jin Ye, Junjun He, Jun Liu:
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images. Biomed. Signal Process. Control. 83: 104699 (2023) - [j17]Yanzhou Su, Jian Cheng, Chuqiao Zhong, Chengzhi Jiang, Jin Ye, Junjun He:
Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance. Neurocomputing 545: 126233 (2023) - [j16]Jianbo Liu, Junjun He, Yuanjie Zheng, Shuai Yi, Xiaogang Wang, Hongsheng Li:
A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11390-11406 (2023) - [j15]Fangjian Lin, Zhanhao Liang, Sitong Wu, Junjun He, Kai Chen, Shengwei Tian:
StructToken: Rethinking Semantic Segmentation With Structural Prior. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5655-5663 (2023) - [j14]Ming Li, Bin Fu, Han Chen, Junjun He, Yu Qiao:
Dual Relation Network for Scene Text Recognition. IEEE Trans. Multim. 25: 4094-4107 (2023) - [j13]Qitong Wang, Bin Fu, Ming Li, Junjun He, Xi Peng, Yu Qiao:
Region-Aware Arbitrary-Shaped Text Detection With Progressive Fusion. IEEE Trans. Multim. 25: 4718-4729 (2023) - [c29]Bin Fu, Junjun He, Jianjun Wang, Yu Qiao:
Neural Transformation Fields for Arbitrary-Styled Font Generation. CVPR 2023: 22438-22447 - [c28]Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, Yu Qiao:
Vision Transformer Adapter for Dense Predictions. ICLR 2023 - [c27]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Token Sparsification for Faster Medical Image Segmentation. IPMI 2023: 743-754 - [c26]Yanzhou Su, Changjian Deng, Zhongying Deng, Jin Ye, Junjun He, Jian Cheng:
Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use. ISBI 2023: 1-5 - [c25]Yanzhou Su, Qingsong Xie, Jin Ye, Junjun He, Jian Cheng:
An Accurate Polyp Segmentation Framework via Feature Secondary Fusion. ISBI 2023: 1-5 - [c24]Yuncheng Yang, Jie Yang, Junjun He, Yun Gu:
Fdinet: Feature-Decomposition-Interaction Networks for Retinal Vessel Segmentation. ISBI 2023: 1-5 - [c23]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation. ISBI 2023: 1-6 - [c22]Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Tianbin Li, Junjun He:
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation. FLARE@MICCAI 2023: 15-27 - [c21]Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Artifact Restoration in Histology Images with Diffusion Probabilistic Models. MICCAI (6) 2023: 518-527 - [c20]Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng:
Revisiting Feature Propagation and Aggregation in Polyp Segmentation. MICCAI (5) 2023: 632-641 - [c19]Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu:
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. MICCAI (1) 2023: 674-683 - [i31]Zhongying Deng, Xiaoyu Ren, Jin Ye, Junjun He, Yu Qiao:
FCN+: Global Receptive Convolution Makes FCN Great Again. CoRR abs/2303.04589 (2023) - [i30]Zhongying Deng, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation. CoRR abs/2303.05734 (2023) - [i29]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Token Sparsification for Faster Medical Image Segmentation. CoRR abs/2303.06522 (2023) - [i28]Xin You, Junjun He, Jie Yang, Yun Gu:
Learning with Explicit Shape Priors for Medical Image Segmentation. CoRR abs/2303.17967 (2023) - [i27]Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao:
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. CoRR abs/2304.06716 (2023) - [i26]Dequan Wang, Xiaosong Wang, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao, Shaoting Zhang:
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. CoRR abs/2306.09579 (2023) - [i25]Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu:
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. CoRR abs/2307.11958 (2023) - [i24]Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Artifact Restoration in Histology Images with Diffusion Probabilistic Models. CoRR abs/2307.14262 (2023) - [i23]Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao:
SAM-Med2D. CoRR abs/2308.16184 (2023) - [i22]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. CoRR abs/2309.03906 (2023) - [i21]Zixuan Liu, Xin Zhang, Junjun He, Dan Fu, Dimitris Samaras, Robby Tan, Xiao Wang, Sheng Wang:
ChiMera: Learning with noisy labels by contrasting mixed-up augmentations. CoRR abs/2310.05183 (2023) - [i20]Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao:
SAM-Med3D. CoRR abs/2310.15161 (2023) - [i19]Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao:
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. CoRR abs/2311.11969 (2023) - [i18]Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He:
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. CoRR abs/2312.04344 (2023) - [i17]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - [i16]Xu Liu, Tong Zhou, Yuanxin Wang, Yuping Wang, Qinjingwen Cao, Weizhi Du, Yonghuan Yang, Junjun He, Yu Qiao, Yiqing Shen:
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey. CoRR abs/2312.10163 (2023) - 2022
- [j12]Junjun He, Huahui Chen:
An LSM-Tree Index for Spatial Data. Algorithms 15(4): 113 (2022) - [j11]Diping Song, Fei Li, Cheng Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao:
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis. Comput. Biol. Medicine 151(Part): 106283 (2022) - [j10]Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-Yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting:
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. npj Digit. Medicine 5 (2022) - [j9]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. IEEE Trans. Image Process. 31: 4585-4597 (2022) - [c18]Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding:
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. LAScarQS@MICCAI 2022: 24-35 - [c17]Xin You, Yun Gu, Junjun He, Hui Sun, Jie Yang:
A More Design-Flexible Medical Transformer for Volumetric Image Segmentation. MLMI@MICCAI 2022: 62-71 - [c16]Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He:
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference. FLARE@MICCAI 2022: 178-189 - [i15]Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR abs/2202.08303 (2022) - [i14]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. CoRR abs/2203.05028 (2022) - [i13]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Self Pre-training with Masked Autoencoders for Medical Image Analysis. CoRR abs/2203.05573 (2022) - [i12]Fangjian Lin, Zhanhao Liang, Junjun He, Miao Zheng, Shengwei Tian, Kai Chen:
StructToken : Rethinking Semantic Segmentation with Structural Prior. CoRR abs/2203.12612 (2022) - [i11]Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, Yu Qiao:
Vision Transformer Adapter for Dense Predictions. CoRR abs/2205.08534 (2022) - [i10]Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He:
An evaluation of U-Net in Renal Structure Segmentation. CoRR abs/2209.02247 (2022) - [i9]Jin Ye, Haoyu Wang, Ziyan Huang, Zhongying Deng, Yanzhou Su, Can Tu, Qian Wu, Yuncheng Yang, Meng Wei, Jingqi Niu, Junjun He:
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans. CoRR abs/2210.07490 (2022) - 2021
- [j8]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Multi-label ocular disease classification with a dense correlation deep neural network. Biomed. Signal Process. Control. 63: 102167 (2021) - [j7]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification. Biomed. Signal Process. Control. 67: 102491 (2021) - [j6]Diping Song, Bin Fu, Fei Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao:
Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function. IEEE Trans. Medical Imaging 40(9): 2392-2402 (2021) - [c15]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao:
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. ISBI 2021: 571-574 - [c14]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. MICCAI (3) 2021: 48-58 - [c13]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. MICCAI (1) 2021: 569-578 - [i8]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. CoRR abs/2109.12629 (2021) - [i7]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. CoRR abs/2109.12634 (2021) - 2020
- [j5]Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-Yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting:
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. npj Digit. Medicine 3 (2020) - [c12]Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao:
Dynamic Sampling Network for Semantic Segmentation. AAAI 2020: 10794-10801 - [c11]Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li:
EfficientFCN: Holistically-Guided Decoding for Semantic Segmentation. ECCV (26) 2020: 1-17 - [c10]Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Tensor Low-Rank Reconstruction for Semantic Segmentation. ECCV (17) 2020: 52-69 - [c9]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition. ECCV (21) 2020: 649-665 - [c8]Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li:
Learning to Predict Context-Adaptive Convolution for Semantic Segmentation. ECCV (25) 2020: 769-786 - [c7]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu:
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. ISBI 2020: 1-4 - [c6]Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu:
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. ISBI 2020: 1258-1261 - [c5]Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. MICCAI (2) 2020: 211-220 - [i6]Jianbo Liu, Junjun He, Jimmy S. Ren, Yu Qiao, Hongsheng Li:
Learning to Predict Context-adaptive Convolution for Semantic Segmentation. CoRR abs/2004.08222 (2020) - [i5]Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Tensor Low-Rank Reconstruction for Semantic Segmentation. CoRR abs/2008.00490 (2020) - [i4]Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li:
EfficientFCN: Holistically-guided Decoding for Semantic Segmentation. CoRR abs/2008.10487 (2020) - [i3]Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. CoRR abs/2010.04062 (2020) - [i2]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition. CoRR abs/2012.02994 (2020)
2010 – 2019
- 2019
- [j4]Liwen Zhang, Junjun He, Jian Zhang, Nana Li, Min Liu:
Study of chemical dosing control system in power plants based on multi-model switching and improved smith pre-compensation. J. Comput. Methods Sci. Eng. 19(4): 869-878 (2019) - [j3]Hanyu Peng, Junjun He, Shifeng Chen, Yali Wang, Yu Qiao:
Dual-supervised attention network for deep cross-modal hashing. Pattern Recognit. Lett. 128: 333-339 (2019) - [c4]Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao:
Adaptive Pyramid Context Network for Semantic Segmentation. CVPR 2019: 7519-7528 - [c3]Junjun He, Zhongying Deng, Yu Qiao:
Dynamic Multi-Scale Filters for Semantic Segmentation. ICCV 2019: 3561-3571 - [c2]Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Ed X. Wu, Xiaoying Tang:
Prostate Segmentation using 2D Bridged U-net. IJCNN 2019: 1-7 - 2018
- [c1]Guoxiang Qu, Wenwei Zhang, Zhe Wang, Xing Dai, Jianping Shi, Junjun He, Fei Li, Xiulan Zhang, Yu Qiao:
StripNet: Towards Topology Consistent Strip Structure Segmentation. ACM Multimedia 2018: 283-291 - [i1]Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Xiaoying Tang:
W-net: Bridged U-net for 2D Medical Image Segmentation. CoRR abs/1807.04459 (2018) - 2014
- [j2]Liangyin Chen, Bingshu Yan, Junjun He, Jingyu Zhang, Wen Chen, Yushi Jiang, Yan Liu, Qian Luo, BaoQiu Wang:
An Eliminating Method to Improve Localization Accuracy. Int. J. Distributed Sens. Networks 10 (2014) - 2013
- [j1]Guofeng Wu, Lijuan Cui, Junjun He, Hongtao Duan, Teng Fei, Yaolin Liu:
Comparison of MODIS-based models for retrieving suspended particulate matter concentrations in Poyang Lake, China. Int. J. Appl. Earth Obs. Geoinformation 24: 63-72 (2013)
Coauthor Index
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