5 citations · 8 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images
Petru Manescu, Joseph Geradts, Delmiro Fernandez-Reyes
Hypoxia occurs when tumour cells outgrow their blood supply, leading to regions of low oxygen levels within the tumour. Calculating hypoxia levels can be an important step in under…