Papers

• Where Physics Meets Privacy: Federated PINNs for Privacy-Preserving Brain Tumor Biomechanical Modeling (2026)
  Mahmuda Akter Sristy et al.
  4.95
• Closed-loop coupling of personalised and foundation models for real-time treatment guidance with MRI (2026)
  James Grover et al.
  4.33
• From Data Completeness to Data Sufficiency: A Task-Driven Imaging Framework for Intraoperative CBCT under Quality-Time-Dose Trade-offs (2026)
  Yi Jia et al.
  4.33
• ConRad: Efficient Conformal Prediction for Radiomics (2026)
  Matt Y. Cheung et al.
  4.33
• Visible-Light Imaging Diagnosis of Neutral Particle Emission Tomography in the Tokamak Divertor: An Efficient Transformer-based Surrogate Model (2026)
  Xiao Wang et al.
  4.33
• CrossSpine: Multi-scale Cross-sequence Attention with Anatomical Priors for Automated Pfirrmann Grading (2026)
  Hai Son Nguyen et al.
  4.33
• Real-time Reconstruction of Human Visual Perception from fMRI (2026)
  Rishab S. Iyer et al.
  4.33
• Metric Surface Reconstruction of Neurosurgical Scenes from Monocular Operating Microscope Images and Microscope Pose (2026)
  Thomas Bucher et al.
  4.33
• Learning Dense 2D-3D Correspondence for X-ray-to-CT Registration of Knee Bones (2026)
  Rembert Daems et al.
  4.33
• Agentic Autoresearch for CT Reconstruction (2026)
  Andreas Maier et al.
  4.33
• Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration (2026)
  Minheng Chen et al.
  4.33
• OrganLens: Organ-Specific Representation Learning for CT Foundation Models (2026)
  Zhixuan Ge et al.
  4.33
• A systematic evaluation of machine learning classifiers for event-by-event background rejection in LAFOV PET scanners (2026)
  Konrad Klimaszewski et al.
  4.33
• FE-MCFormer: a novel time-frequency interpretable architecture for machinery fault diagnosis under strong noise environments (2025)
  Yuhan Yuan et al.
  2.76
• Multi-head automated segmentation by incorporating detection head into the contextual layer neural network (2026)
  Edwin Kys and Febian Febian
  1.67
• Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research (2025)
  Ciro Benito Raggio et al.
  1.56
• Survival prediction using ensemble tumor segmentation and transfer learning (2018)
  Mariano Cabezas et al.
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• Sequential vessel segmentation via deep channel attention network (2021)
  Dongdong Hao et al.
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• Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients (2021)
  Faeze Gholamiankhah et al.
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• AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images (2024)
  Shadab Ahamed
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