PPaperPicks

Dinggang Shen

ShanghaiTech University, School of Biomedical Engineering, Shanghai, China

50 papers at tracked venues · 3 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
  2. A New Paradigm for Low-Dose PET/CT Reconstruction with Mamba-Powered Progressive Network and Physics-Informed Consistency
  3. A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
  4. A$\upbeta $-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks
  5. Adapting Foundation Model for Dental Caries Detection with Dual-View Co-training
  6. BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-scan Image Restoration
  7. Brain-Heart-Gut Guided Multi-constraint Knowledge Distillation for Early Alzheimer's Disease Diagnosis
  8. Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction
  9. Graph-Based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation
  10. HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
  11. Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
  12. Location-Guided Automated Lesion Captioning in Whole-Body PET/CT Images
  13. MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
  14. MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
  15. Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI
  16. Neuro-AMS: Neuro-Informed Age-Aware and Medical Knowledge-Integrated Strategy for Diagnosis of Multiple Brain Disorders
  17. Predicting Alzheimer's Disease Progression Using a Regression-Based Survival Model with Longitudinal Data
  18. RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding
  19. Sparsely Labeled fMRI Data Denoising with Meta-learning-Based Semi-supervised Domain Adaptation
  20. Tabular Data-Enhanced Multi-modal Alignment and Synthesis for Alzheimer's Disease Diagnosis
  21. Task-Aligned fMRI Generation Model for Brain Disorder Diagnosis
  22. Tumor Segmentation with Heterogeneity Clustering in Non-Contrast Breast MRI
  23. Uncovering Aβ Accumulation Patterns via Multi-modal Latent Space Clustering Using Residual Diffusion Model
  24. Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis Across MRI, CT and PET
  25. Wavelet-Driven Decoupling and Physics-Informed Mapping Network for Accelerated Multi-parametric MR Imaging
  26. A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage
  27. A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis
  28. A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI
  29. A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis
  30. Cephalometric Landmark Detection Across Ages with Prototypical Network
  31. DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels
  32. Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction
  33. Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets
  34. Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
  35. HF-ResDiff: High-Frequency-Guided Residual Diffusion for Multi-dose PET Reconstruction
  36. Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network
  37. Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
  38. LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net
  39. LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
  40. Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
  41. NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images
  42. Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images
  43. Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective
  44. Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model
  45. SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis
  46. TUMSyn: A Text-Guided Generalist Model for Customized Multimodal MR Image Synthesis
  47. TeethDreamer: 3D Teeth Reconstruction from Five Intra-Oral Photographs
  48. Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss
  49. UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
  50. k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging