5 citations · 8 across the 11 of their papers we have counts for
11 papers
RoughNet: Mapping Arctic Sea Ice Roughness Using Diffusion-Based Super-Resolution of Satellite Imagery
Tessa Cannon, Michel Tsamados, Petru Manescu +5
Accurate estimation of landfast sea ice roughness is critical for climate modeling and safe Arctic over-ice travel, yet existing approaches rely on costly airborne surveys or spars…
MORPHFED: Federated Learning for Cross-institutional Blood Morphology Analysis
Gabriel Ansah, Eden Ruffell, Delmiro Fernandez-Reyes +1
Automated blood morphology analysis can support hematological diagnostics in low- and middle-income countries (LMICs) but remains sensitive to dataset shifts from staining variabil…
HemBLIP: A Vision-Language Model for Interpretable Leukemia Cell Morphology Analysis
Julie van Logtestijn, Petru Manescu
Microscopic evaluation of white blood cell morphology is central to leukemia diagnosis, yet current deep learning models often act as black boxes, limiting clinical trust and adopt…
LesionTABE: Equitable AI for Skin Lesion Detection
Rocio Mexia Diaz, Yasmin Greenway, Petru Manescu
Bias remains a major barrier to the clinical adoption of AI in dermatology, as diagnostic models underperform on darker skin tones. We present LesionTABE, a fairness-centric framew…
Cognitive Maps in Language Models: A Mechanistic Analysis of Spatial Planning
Caroline Baumgartner, Eleanor Spens, Neil Burgess +1
How do large language models solve spatial navigation tasks? We investigate this by training GPT-2 models on three spatial learning paradigms in grid environments: passive explorat…
Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation
Jeremiah Fadugba, Petru Manescu, Bolanle Oladejo +2
Uncertainty estimation is critical for reliable medical image segmentation, particularly in retinal vessel analysis, where accurate predictions are essential for diagnostic applica…