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20112026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

24 papers

cs.CV2026★ 1 cited

SiMiC: Context-Aware Silicon Microstructure Characterization Using Attention-Based Convolutional Neural Networks for Field-Emission Tip Analysis

Jing Jie Tan, Rupert Schreiner, Matthias Hausladen +8

Accurate characterization of silicon microstructures is essential for advancing microscale fabrication, quality control, and device performance. Traditional analysis using Scanning…

cs.CV2025★ 1 cited

Adapted Foundation Models for Breast MRI Triaging in Contrast-Enhanced and Non-Contrast Enhanced Protocols

Tri-Thien Nguyen, Lorenz A. Kapsner, Tobias Hepp +13

Background: Magnetic resonance imaging (MRI) has high sensitivity for breast cancer detection, but interpretation is time-consuming. Artificial intelligence may aid in pre-screenin…

quant-ph2024★ 3 cited

Quantum network tomography of Rydberg arrays by machine learning

Kaustav Mukherjee, Johannes Schachenmayer, Shannon Whitlock +1

Configurable arrays of optically trapped Rydberg atoms are a versatile platform for quantum computation and quantum simulation, also allowing controllable decoherence. We demonstra…

eess.IV2024★ 8 cited

Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images

Yuan Bi, Lucie Huang, Ricarda Clarenbach +4

Anomaly detection in medical imaging plays a crucial role in identifying pathological regions across various imaging modalities, such as brain MRI, liver CT, and carotid ultrasound…

astro-ph.GA2024★ 18 cited

Atomic and molecular gas as traced by [C II] emission

Benedetta Casavecchia, Umberto Maio, Céline Péroux +1

The latest ALMA and JWST observations provide new information on the birth and evolution of galaxies in the early Universe, at the epoch of reionization. Of particular importance a…

astro-ph.GA2024★ 27 cited

ACOSMOS and AGOODSS: Continuum Source Catalogues and Multi-band Number Counts

Sylvia Adscheid, Benjamin Magnelli, Daizhong Liu +7

Galaxy submillimetre number counts are a fundamental measurement in our understanding of galaxy evolution models. Most early measurements are obtained via single-dish telescopes wi…