Key papers

• Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data (2025)
  Ehsan Farahbakhsh et al.
  5.84
• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images (2023)
  Anis Bourou et al.
  4.85
• Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization (2022)
  Ngan Nguyen et al.
  4.52
• MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement (2026)
  Andrea Borghesi et al.
  4.39
• Low-Dose 3D Bonding Mapping Through "Soft" Core-Loss EELS Tomography and Unsupervised Deep Learning (2026)
  Mario Pelaez-Fernandez et al.
  4.33
• Rough Path Signature-Guided Geometry Augmentation for Few-Shot Industrial Surface Defect Detection (2026)
  Jiaqi Kuang
  3.51
• Karyotype AI for Precision Oncology (2022)
  Zahra Shamsi et al.
  2.53
• Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial (2024)
  Harshith Bachimanchi and Giovanni Volpe
  2.43
• Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI (2026)
  Joao Manoel Herrera Pinheiro et al.
  1.78
• Shortest-Path Flow Matching with Mixture-Conditioned Bases for OOD Generalization to Unseen Conditions (2026)
  Andrea Rubbi et al.
  1.67
• Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging (2025)
  Paul J. Weiser et al.
  1.61
• A Multicollinearity-Aware Signal-Processing Framework for Cross-$\beta$ Identification via X-ray Scattering of Alzheimer's Tissue (2025)
  Abdullah Al Bashit et al.
  1.56
• Towards Blind Lens Aberration Correction via Large LensLib Pre-training and Discrete Degradation Priors (2025)
  Xiaolong Qian et al.
  1.56
• POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning (2025)
  Fangyi Cao et al.
  1.28
• Joint Denoising of Cryo-EM Projection Images using Polar Transformers (2025)
  Joakim And\'en et al.
  1.28
• Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images (2025)
  Amit Das et al.
  1.28
• Dimensionality reduction for homological stability and global structure preservation (2025)
  Alexander Kolpakov et al.
  1.11
• Floralens: a Deep Learning Model for the Portuguese Native Flora (2024)
  Ant\'onio Filgueiras et al.
  0.50
• Democratizing Advanced High-Throughput Imaging via Cross-Instrument Deep Learning-Enabled Modality Transfer (2024)
  Dominik Panek et al.
  0.50
• An $\ell^1$-Plug-and-Play Approach for MPI Using a Zero Shot Denoiser with Evaluation on the 3D Open MPI Dataset (2024)
  Vladyslav Gapyak and Corinna Rentschler and Thomas M\"arz and Andreas Weinmann
  0.39
• Learning Physics-Informed Noise Models from Dark Frames for Low-Light Raw Image Denoising (2023)
  Hansen Feng et al.
  0.22
• Advances in Electron Microscopy with Deep Learning (2021)
  Jeffrey M. Ede
  —
• Machine learning based lens-free imaging technique for field-portable cytometry (2022)
  Rajkumar Vaghashiya et al.
  —
• A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis (2022)
  Karoline da Rocha et al.
  —
• Physics-assisted Generative Adversarial Network for X-Ray Tomography (2022)
  Zhen Guo et al.
  —
• A common lines approach for ab-initio modeling of molecules with tetrahedral and octahedral symmetry (2022)
  Adi Shasha Geva and Yoel Shkolnisky
  —
• Heterogeneous reconstruction of deformable atomic models in Cryo-EM (2022)
  Youssef Nashed et al.
  —
• High-precision Density Mapping of Marine Debris and Floating Plastics via Satellite Imagery (2022)
  Henry Booth et al.
  —
• Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data (2022)
  Leevi Kerkel\"a et al.
  —
• ACL-Fig: A Dataset for Scientific Figure Classification (2023)
  Zeba Karishma et al.
  —
• Digital staining in optical microscopy using deep learning -- a review (2023)
  Lucas Kreiss et al.
  —
• DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture (2023)
  Min Cen et al.
  —
• Computational 3D topographic microscopy from terabytes of data per sample (2023)
  Kevin C. Zhou et al.
  —
• Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data (2023)
  Hieu Le et al.
  —
• DLSIA: Deep Learning for Scientific Image Analysis (2023)
  Eric J Roberts et al.
  —
• PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data (2023)
  Jingyi Shen and Han-Wei Shen
  —
• PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network (2023)
  Yuxin Xue et al.
  —
• Deep Learning Enables Large Depth-of-Field Images for Sub-Diffraction-Limit Scanning Superlens Microscopy (2023)
  Hui Sun et al.
  —
• RudolfV: A Foundation Model by Pathologists for Pathologists (2024)
  Jonas Dippel et al.
  —
• Prediction of Cellular Identities from Trajectory and Cell Fate Information (2024)
  Baiyang Dai et al.
  —
• CT Material Decomposition using Spectral Diffusion Posterior Sampling (2024)
  Xiao Jiang et al.
  —
• Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy (2024)
  Yair Ben Sahel et al.
  —
• Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy (2024)
  Hong-Jun Yoon et al.
  —
• Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology (2024)
  Tiago Gon\c{c}alves et al.
  —
• Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning (2024)
  Yupei Zhang et al.
  —
• Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion (2024)
  Marc Harary et al.
  —
• IDCIA: Immunocytochemistry Dataset for Cellular Image Analysis (2024)
  Abdurahman Ali Mohammed et al.
  —
• Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability (2024)
  Siddhartha Bhattacharya et al.
  —