Key papers

• Quantum-Inspired Vision: Leveraging Wave-Particle Duality for Low-Illumination Enhancement (2026)
  Yiquan Gao
  5.01
• MalariAI: A Label-Resilient Decoupled Framework for Universal Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears (2026)
  Kaysarul Anas Apurba et al.
  4.39
• Group-invariant Coresets for Data-efficient Active Learning (2026)
  L. C. Ayres et al.
  4.39
• Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health (2026)
  Jan Ernsting et al.
  4.39
• Predicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies (2026)
  Debopriya Ghosh
  3.51
• Safecloud: A Distributed, Encrypted Storage Cloud for Streaming (2026)
  Gregory Magarshak
  3.45
• Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation (2026)
  Kaiwen Wang et al.
  2.00
• Farmland Extent and Visible Boundary Mapping from 1 m NAIP Imagery Using Residual U-Net and Text-Prompted SAM 3 Refinement (2026)
  Mohammadreza Narimani et al.
  2.00
• Time-Reversed Imaging: A Multimodal Benchmark and Framework for Reconstructing Past Human-Environment Interactions (2026)
  Jorge Bacca et al.
  2.00
• Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning (2026)
  Weijie Chen et al.
  1.94
• FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization (2026)
  Zoe Fowler and Ghassan AlRegib
  1.89
• FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathy (2026)
  Debashis De et al.
  1.89
• On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning (2026)
  Kexin Zhang et al.
  1.89
• ADP-FL-MedSeg: Adaptive Differential Privacy for Federated Medical Segmentation Across Diverse Modalities (2026)
  Puja Saha and Eranga Ukwatta
  1.83
• Deep Learning-based Assessment of the Relation Between the Third Molar and Mandibular Canal on Panoramic Radiographs using Local, Centralized, and Federated Learning (2026)
  Johan Andreas Balle Rubak et al.
  1.78
• Projection Guided Personalized Federated Learning for Low Dose CT Denoising (2026)
  Anas Zafar et al.
  1.78
• CFL-SparseMed: Communication-Efficient Federated Learning for Medical Imaging with Top-k Sparse Updates (2025)
  Gousia Habib et al.
  1.50
• Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning (2025)
  Johan Andreas Balle Rubak et al.
  1.44
• Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based Computed Tomography Scan Analysis (2025)
  Avais Jan et al.
  1.44
• FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation (2025)
  Asim Ukaye et al.
  1.39
• Holo-Artisan: A Personalized Multi-User Holographic Experience for Virtual Museums on the Edge Intelligence (2025)
  Nan-Hong Kuo et al.
  1.39
• Debunking Optimization Myths in Federated Learning for Medical Image Classification (2025)
  Youngjoon Lee et al.
  1.33
• A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions (2025)
  Saddam Hussain Khan et al.
  1.11
• Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI (2022)
  Joshua Durso-Finley et al.
  —
• Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings (2022)
  Florian Kofler et al.
  —
• Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions (2022)
  Edward Y. Chang
  —
• A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry (2023)
  Jianfeng Wu et al.
  —
• AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources (2023)
  Anakha V Babu et al.
  —
• Towards Real-World Burst Image Super-Resolution: Benchmark and Method (2023)
  Pengxu Wei and Yujing Sun and Xingbei Guo and Chang Liu and Jie Chen and Xiangyang Ji and Liang Lin
  —
• CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins (2024)
  Mohammad (Behdad) Jamshidi et al.
  —
• Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization (2024)
  Bao Hoang et al.
  —
• Edge-AI for Agriculture: Lightweight Vision Models for Disease Detection in Resource-Limited Settings (2024)
  Harsh Joshi
  —