2.1k citations
- Yale UniversityUS47 papers
- California Institute of TechnologyUS7 papers
- Center for Astrophysics Harvard & SmithsonianUS6 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- European Southern ObservatoryCL6 papers
- University of TurinIT5 papers
- Whitney Museum of American ArtUS5 papers
- Max Planck Institute for Extraterrestrial PhysicsDE4 papers
- Sorbonne UniversitéFR4 papers
- University of ChileCL4 papers
- University of OxfordGB4 papers
- University of PortsmouthGB4 papers
49 papers
Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT
Anna Mrukwa, Marek Socha, Aleksandra Suwalska +9
Background Lung cancer remains the deadliest cancer worldwide because it is often diagnosed too late. Effective treatment depends on detection at an early screening stage. However,…
PET mapping of receptor occupancy using joint direct parametric reconstruction
Thibault Marin, Vasily Belov, Yanis Chemli +8
Receptor occupancy (RO) studies using PET neuroimaging play a critical role in the development of drugs targeting the central nervous system (CNS). The conventional approach to est…
EpidermaQuant: Unsupervised detection and quantification of epidermal differentiation markers on H-DAB-stained images of reconstructed human epidermis
Dawid Zamojski, Agnieszka Gogler, Dorota Scieglinska +1
The integrity of the reconstructed human epidermis generated in vitro could be assessed using histological analyses combined with immunohistochemical staining of keratinocyte diffe…
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
Wojciech Prazuch, Aleksandra Suwalska, Marek Socha +19
Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learn…
The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
Lily L. Zhao, Debra A. Fischer, Eric B. Ford +40
Measured spectral shifts due to intrinsic stellar variability (e.g., pulsations, granulation) and activity (e.g., spots, plages) are the largest source of error for extreme precisi…
RMS-Flux Relation and Disc-Jet Connection in Blazars in the Context of the Internal Shocks Model
Aritra Kundu, Ritaban Chatterjee, Kaustav Mitra +1
Recent analysis of blazar variability has revealed a proportionality between the mean flux and the root mean squared (rms) fluctuations about the mean flux. Although such rms-flux…