Multimodal Human-AI Synergy for Medical Imaging Quality Control: A Hybrid Intelligence Framework with Adaptive Dataset Curation and Closed-Loop Evaluation.

[BibT_eX]

[DOI]

Zhi Qin

Qianhui Gui

CoRR, March, 2025

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation.

[BibT_eX]

[DOI]

CoRR, March, 2025

Learning With Explicit Shape Priors for Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, February, 2025

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.

[BibT_eX]

[DOI]

CoRR, February, 2025

RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2025

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

[BibT_eX]

[DOI]

Medical Image Anal., 2025

A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2025

FCN+: Global receptive convolution makes FCN great again.

[BibT_eX]

[DOI]

Neurocomputing, 2025

2024

Subsidence Characteristics in North Anhui Coal Mining Areas Using Space-Air-Ground Collaborative Observations.

[BibT_eX]

[DOI]

Sensors, June, 2024

Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance.

[BibT_eX]

[DOI]

Vis. Intell., 2024

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.

[BibT_eX]

[DOI]

CoRR, 2024

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI.

[BibT_eX]

[DOI]

CoRR, 2024

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline.

[BibT_eX]

[DOI]

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

[BibT_eX]

[DOI]

CoRR, 2024

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance.

[BibT_eX]

[DOI]

CoRR, 2024

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey for Large Language Models in Biomedicine.

[BibT_eX]

[DOI]

CoRR, 2024

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.

[BibT_eX]

[DOI]

CoRR, 2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.

[BibT_eX]

[DOI]

CoRR, 2024

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Tiny Efficient U-Net with Gated Linear Attention for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

StructToken: Rethinking Semantic Segmentation With Structural Prior.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., October, 2023

A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., May, 2023

Region-Aware Arbitrary-Shaped Text Detection With Progressive Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Dual Relation Network for Scene Text Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.

[BibT_eX]

[DOI]

CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

[BibT_eX]

[DOI]

CoRR, 2023

SAM-Med3D.

[BibT_eX]

[DOI]

CoRR, 2023

ChiMera: Learning with noisy labels by contrasting mixed-up augmentations.

[BibT_eX]

[DOI]

CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

SAM-Med2D.

[BibT_eX]

[DOI]

CoRR, 2023

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

Learning with Explicit Shape Priors for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

FCN+: Global Receptive Convolution Makes FCN Great Again.

[BibT_eX]

[DOI]

CoRR, 2023

Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Revisiting Feature Propagation and Aggregation in Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Evaluating STU-Net for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

Artifact Restoration in Histology Images with Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Fdinet: Feature-Decomposition-Interaction Networks for Retinal Vessel Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

An Accurate Polyp Segmentation Framework via Feature Secondary Fusion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Token Sparsification for Faster Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2023

Vision Transformer Adapter for Dense Predictions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Transformation Fields for Arbitrary-Styled Font Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dynamic Instance Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans.

[BibT_eX]

[DOI]

CoRR, 2022

An evaluation of U-Net in Renal Structure Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

StructToken : Rethinking Semantic Segmentation with Structural Prior.

[BibT_eX]

[DOI]

CoRR, 2022

Self Pre-training with Masked Autoencoders for Medical Image Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.

[BibT_eX]

[DOI]

Aaron Babier

Rafid Mahmood

Binghao Zhang

Victor Gabriel Leandro Alves

Ana Maria Barragán-Montero

Joel Beaudry

Carlos E. Cardenas S.

Jean Carlo Jimenez Giraldo

Alexander F. I. Osman

Zhao Peng

José Darío Quinto Muñoz

Mumtaz Hussain Soomro

CoRR, 2022

Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

An LSM-Tree Index for Spatial Data.

[BibT_eX]

[DOI]

Junjun He

Huahui Chen

Algorithms, 2022

A More Design-Flexible Medical Transformer for Volumetric Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

Multi-label ocular disease classification with a dense correlation deep neural network.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

EfficientFCN: Holistically-Guided Decoding for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Predict Context-Adaptive Convolution for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Tensor Low-Rank Reconstruction for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Sampling Network for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dual-supervised attention network for deep cross-modal hashing.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Study of chemical dosing control system in power plants based on multi-model switching and improved smith pre-compensation.

[BibT_eX]

[DOI]

J. Comput. Methods Sci. Eng., 2019

Prostate Segmentation using 2D Bridged U-net.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Dynamic Multi-Scale Filters for Semantic Segmentation.

[BibT_eX]

[DOI]

Junjun He

Zhongying Deng

Yu Qiao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptive Pyramid Context Network for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

W-net: Bridged U-net for 2D Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

StripNet: Towards Topology Consistent Strip Structure Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2014

An Eliminating Method to Improve Localization Accuracy.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2014

2013

Comparison of MODIS-based models for retrieving suspended particulate matter concentrations in Poyang Lake, China.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2013

Junjun He

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