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20192026
most citedDeep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy

5 citations · 8 across the 11 of their papers we have counts for

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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2023

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…