Junjun He
Orcid: 0000-0002-1813-1784
According to our database1,
Junjun He
authored at least 83 papers
between 2013 and 2025.
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Bibliography
2025
Medical Image Anal., 2025
2024
Subsidence Characteristics in North Anhui Coal Mining Areas Using Space-Air-Ground Collaborative Observations.
Sensors, June, 2024
Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance.
CoRR, 2024
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding.
CoRR, 2024
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery.
CoRR, 2024
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering.
CoRR, 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.
CoRR, 2024
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
CoRR, 2024
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding.
CoRR, 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.
CoRR, 2024
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024
2023
IEEE Trans. Circuits Syst. Video Technol., October, 2023
A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Biomed. Signal Process. Control., May, 2023
IEEE Trans. Multim., 2023
Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance.
Neurocomputing, 2023
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey.
CoRR, 2023
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.
CoRR, 2023
CoRR, 2023
CoRR, 2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.
CoRR, 2023
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.
CoRR, 2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
CoRR, 2023
CoRR, 2023
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2022
CoRR, 2022
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.
CoRR, 2022
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis.
Comput. Biol. Medicine, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
2021
Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function.
IEEE Trans. Medical Imaging, 2021
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification.
Biomed. Signal Process. Control., 2021
Multi-label ocular disease classification with a dense correlation deep neural network.
Biomed. Signal Process. Control., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Pattern Recognit. Lett., 2019
Study of chemical dosing control system in power plants based on multi-model switching and improved smith pre-compensation.
J. Comput. Methods Sci. Eng., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
2014
Int. J. Distributed Sens. Networks, 2014
2013
Comparison of MODIS-based models for retrieving suspended particulate matter concentrations in Poyang Lake, China.
Int. J. Appl. Earth Obs. Geoinformation, 2013