Jin Ye

Orcid: 0000-0003-0667-9889

Affiliations:

Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China

According to our database¹, Jin Ye authored at least 48 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.

[BibT_eX]

[DOI]

Paula Ramirez Gilliland

Md Mahfuzur Rahman Siddiquee

Meritxell Bach Cuadra

András Jakab

IEEE Trans. Medical Imaging, March, 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

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging.

[BibT_eX]

[DOI]

Nat. Mac. 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

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

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

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

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

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., May, 2023

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

[BibT_eX]

[DOI]

Neurocomputing, 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

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

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

[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

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

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

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

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

Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs.