Papers

• Optimal stimulation sites are not the most affected: personalised models of resting-state fMRI in Alzheimer's disease (2026)
  Cristiano Capone et al.
  5.49
• Matrix-Free Photoacoustic Image Reconstruction via Sensor-Token Self-Attention (2026)
  Mary John et al.
  2.00
• Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging (2026)
  Christopher Hahne
  2.00
• Re-thinking Mammography Transfer Learning: The Dataset-Informed Transfer Learning (DITL) Framework for Breast Cancer Screening and Lesion Diagnosis (2026)
  Adarsh Bhandary Panambur et al.
  2.00
• Benchmarking Deep Learning Models for Raman Spectroscopy Across Open-Source Datasets (2026)
  Adithya Sineesh et al.
  1.67
• Learning-Based Estimation of Spatially Resolved Scatter Radiation Fields in Interventional Radiology (2025)
  Felix Lehner et al.
  1.61
• Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning (2025)
  Jueye Zhang et al.
  1.56
• CNN-BiLSTM for sustainable and non-invasive COVID-19 detection via salivary ATR-FTIR spectroscopy (2025)
  Anisio P. Santos Junior et al.
  1.44
• Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance (2022)
  Qinqin Yang et al.
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• Combination of Raman spectroscopy and chemometrics: A review of recent studies published in the Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy Journal (2022)
  Yulia Khristoforova et al.
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• Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data (2022)
  Leevi Kerkel\"a et al.
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• Deep Learning reconstruction with uncertainty estimation for $\gamma$ photon interaction in fast scintillator detectors (2023)
  Geoffrey Daniel et al.
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• Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability (2023)
  Lian Zhang et al.
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• CT Material Decomposition using Spectral Diffusion Posterior Sampling (2024)
  Xiao Jiang et al.
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• Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound (2024)
  Michal Byra et al.
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