A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets.

[BibT_eX]

[DOI]

Qiuhui Yang

Shu Su

Comput. Medical Imaging Graph., 2025

Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2025

Advancing early detection of sepsis with physiological variable interactions and temporal contrastive learning in critical care.

[BibT_eX]

[DOI]

Da Huang

Tao Tan

Yue Sun

Biomed. Signal Process. Control., 2025

MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection.

[BibT_eX]

[DOI]

IEEE Access, 2025

Multi-Object Keypoint Detection and Pose Estimation for Pigs.

[BibT_eX]

[DOI]

Qinghua Guo

Dawei Pei

Yue Sun

P. P. J. H. Langenhuizen

Clémence A. E. M. Orsini

Kristine Hov Martinsen

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

RefineNet: Elevating Medical Foundation Models Through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

SAMASK-CLTR: A Spatial-Aware Mask Guided Learning Model for Benign and Malignant Tumor Classification in ABUS.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-sequence MRI Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Tumor Segmentation with Heterogeneity Clustering in Non-Contrast Breast MRI.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

TRRG: Towards Truthful Radiology Report Generation With Cross-Modal Disease Clue Enhanced Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-scale Deformation Fields.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

C<sup>2</sup>MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

All-in-One Multi-Organ Segmentation in 3D CT Images via Self-Supervised and Cross-Dataset Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Wasserstein-Regularized Conformal Prediction under General Distribution Shift.

[BibT_eX]

[DOI]

Rui Xu

Chao Chen

Yue Sun

Parvathinathan Venkitasubramaniam

Sihong Xie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MoEdit: On Learning Quantity Perception for Multi-object Image Editing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning.

[BibT_eX]

[DOI]

Virtual Real. Intell. Hardw., 2024

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification.

[BibT_eX]

[DOI]

Displays, 2024

A novel heart rate estimation framework with self-correcting face detection for Neonatal Intensive Care Unit.

[BibT_eX]

[DOI]

Displays, 2024

Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy.

[BibT_eX]

[DOI]

Parv Venkitasubramaniam

CoRR, 2024

Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model.

[BibT_eX]

[DOI]

Rui Xu

Yue Sun

Chao Chen

Parv Venkitasubramaniam

Sihong Xie

CoRR, 2024

Distance guided generative adversarial network for explainable medical image classifications.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2024

DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-modal Organ and Lesion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

Benchmarking Machine Learning Algorithms for Epilepsy Detection on Multi-Age Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Controllable Quality Improvement of Mobile Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Enhancing Video Grounding with Dual-Path Modality Fusion on Animal Kingdom Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Multimodal Behavior Recognition Network with Interconnected Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation.

[BibT_eX]

[DOI]

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

2023

Enhanced camera-based individual pig detection and tracking for smart pig farms.

[BibT_eX]

[DOI]

Qinghua Guo

Yue Sun

Clémence A. E. M. Orsini

Comput. Electron. Agric., August, 2023

Distance Guided Generative Adversarial Network for Explainable Binary Classifications.

[BibT_eX]

[DOI]

CoRR, 2023

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning.

[BibT_eX]

[DOI]

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

Deformable Spherical Transformer for Cerebellar Surface Parcellation.

[BibT_eX]

[DOI]

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

A Hybrid Supervised Fusion Deep Learning Framework for Microscope Multi-Focus Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computer Graphics, 2023

2022

Video-based Detection and Tracking with Improved Re-Identification Association for Pigs and Laying Hens in Farms.

[BibT_eX]

[DOI]

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.

[BibT_eX]

[DOI]

Camilo Bermudez Noguera

IEEE Trans. Medical Imaging, 2021

Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Harmonized neonatal brain MR image segmentation model for cross-site datasets.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Video-based infant monitoring using a CNN-LSTM scheme.

[BibT_eX]

[DOI]

Lan Min

Yue Sun

Peter H. N. de With

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.

[BibT_eX]

[DOI]

Camilo Bermudez Noguera

CoRR, 2020

Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Informative Feature-Guided Siamese Network for Early Diagnosis of Autism.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Video-based discomfort detection for infants.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2019

Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.

[BibT_eX]

[DOI]

CoRR, 2017

2015

Three-Dimensional Nonrigid MR-TRUS Registration Using Dual Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Non-rigid MRI-TRUS registration in targeted prostate biopsy.

[BibT_eX]

[DOI]

Bahram Marami

Shahin Sirouspour

Suha Ghoul

Shadi Emami Abarghouei

Yue Sun

Aaron Fenster

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2014

Dual optimization based prostate zonal segmentation in 3D MR images.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

3D non-rigid surface-based MR-TRUS registration for image-guided prostate biopsy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Efficient Convex Optimization Approach to 3D Non-rigid MR-TRUS Registration.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Efficient 3D Multi-region Prostate MRI Segmentation Using Dual Optimization.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2013

Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Yue Sun

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