activity
20162024
most citedGravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science

335 citations · 364 across the 21 of their papers we have counts for

collaborators

21 papers

eess.IV2024

DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning

Hui Lin, Florian Schiffers, Santiago López-Tapia +3

Unsupervised domain adaptation (UDA) is essential for medical image segmentation, especially in cross-modality data scenarios. UDA aims to transfer knowledge from a labeled source…

cond-mat.mtrl-sci2024

Characterization of Crystal Properties and Defects in CdZnTe Radiation Detectors

Manuel Ballester, Jaromir Kaspar, Francesc Massanes +3

CdZnTe-based detectors are highly valued because of their high spectral resolution, which is an essential feature for nuclear medical imaging. However, this resolution is compromis…

cond-mat.mtrl-sci20241 cited

Review and Novel Formulae for Transmittance and Reflectance of Wedged Thin Films on absorbing Substrates

Manuel Ballester, Emilio Marquez, John Bass +3

Historically, spectroscopic techniques have been essential for studying the optical properties of thin solid films. However, existing formulae for both normal transmission and refl…

cs.CV2024

VDPI: Video Deblurring with Pseudo-inverse Modeling

Zhihao Huang, Santiago Lopez-Tapia, Aggelos K. Katsaggelos

Video deblurring is a challenging task that aims to recover sharp sequences from blur and noisy observations. The image-formation model plays a crucial role in traditional model-ba…

cs.CV2024

Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches

Yi Li, Yunan Wu, Aggelos K. Katsaggelos

The advancement of The Laser Interferometer Gravitational-Wave Observatory (LIGO) has significantly enhanced the feasibility and reliability of gravitational wave detection. Howeve…

cs.CV2024

Focused Active Learning for Histopathological Image Classification

Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper +4

Active Learning (AL) has the potential to solve a major problem of digital pathology: the efficient acquisition of labeled data for machine learning algorithms. However, existing A…