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Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization

Autor: Fadugba, Jeremiah, Köhler, Patrick, Koch, Lisa, Manescu, Petru, Berens, Philipp

Retinal blood vessel segmentation can extract clinically relevant information from fundus images. As manual tracing is cumbersome, algorithms based on Convolution Neural Networks have been developed. Such studies have used small publicly available da

Externí odkaz: http://arxiv.org/abs/2406.14994

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Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images

Autor: Manescu, Petru, Geradts, Joseph, Fernandez-Reyes, Delmiro

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 understanding the biology of tumours, their clinical progression and respon

Externí odkaz: http://arxiv.org/abs/2311.12601

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End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition

Autor: Mănescu, Emilian-Claudiu, Smădu, Răzvan-Alexandru, Avram, Andrei-Marius, Cercel, Dumitru-Clementin, Pop, Florin

Lip reading or visual speech recognition has gained significant attention in recent years, particularly because of hardware development and innovations in computer vision. While considerable progress has been obtained, most models have only been test

Externí odkaz: http://arxiv.org/abs/2310.04858

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Akademický článek

Short and Medium Chain Fatty Acids in a Cohort of Naïve Multiple Sclerosis Patients: Pre- and Post-Interferon Beta Treatment Assessment

Autor: Barcutean L, Farczadi L, Manescu IB, Imre S, Maier S, Balasa R

Publikováno v: Biologics: Targets & Therapy, Vol Volume 18, Pp 349-361 (2024)

Laura Barcutean,1,2 Lenard Farczadi,3 Ion-Bogdan Manescu,4 Silvia Imre,3,5 Smaranda Maier,1,2 Rodica Balasa1,2 1Department of Neurology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Targu Mures, 540142,

Externí odkaz: https://doaj.org/article/be8bfc455bc940c4910d9395194bde7a

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Akademický článek

ARISGAN: Extreme super-resolution of arctic surface imagery using generative adversarial networks

Autor: Christian Au, Michel Tsamados, Petru Manescu, So Takao

Publikováno v: Frontiers in Remote Sensing, Vol 5 (2024)

Introduction: This research explores the application of generative artificial intelligence, specifically the novel ARISGAN framework, for generating high-resolution synthetic satellite imagery in the challenging arctic environment. Realistic and high

Externí odkaz: https://doaj.org/article/c4f3b7d0596e469596fabbe93d4f274e

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Akademický článek

Anti-thyroid peroxidase (TPO) antibodies – Comparative analysis of two automatic methods, ECLIA and CMIA

Autor: Manescu Ion Bogdan, Luca Andreea, Hutanu Adina, Truta Andreea, Dobreanu Minodora

Publikováno v: Romanian Journal of Laboratory Medicine, Vol 32, Iss 1, Pp 33-40 (2024)

Introduction: Anti-thyroid peroxidase autoantibodies (TPO) is an essential diagnostic tool for autoimmune disorders of the thyroid gland. However, TPO results are not always comparable due to differences between methods. Here, we aimed to investigate

Externí odkaz: https://doaj.org/article/c3620d2d45e446909fab9360c5125f4b

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Automated Detection of Acute Promyelocytic Leukemia in Blood Films and Bone Marrow Aspirates with Annotation-free Deep Learning

Autor: Manescu, Petru, Narayanan, Priya, Bendkowski, Christopher, Elmi, Muna, Claveau, Remy, Pawar, Vijay, Brown, Biobele J., Shaw, Mike, Rao, Anupama, Fernandez-Reyes, Delmiro

While optical microscopy inspection of blood films and bone marrow aspirates by a hematologist is a crucial step in establishing diagnosis of acute leukemia, especially in low-resource settings where other diagnostic modalities might not be available

Externí odkaz: http://arxiv.org/abs/2203.10626

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