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20192026
most citedVision Transformers for Small Histological Datasets Learned through Knowledge Distillation

23 citations · 98 across the 22 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Bi-temporal Image-driven Acute Stroke Evolution Analysis

Md Sazidur Rahman, Kjersti Engan, Kathinka Dæhli Kurz +1

Acute ischemic stroke requires rapid treatment decisions that are strongly guided by emergency imaging. Admission computed tomography perfusion (CTP) is commonly used to estimate t…

cs.CV2024★ 7 cited

Advancing Newborn Care: Precise Birth Time Detection Using AI-Driven Thermal Imaging with Adaptive Normalization

Jorge García-Torres, Øyvind Meinich-Bache, Anders Johannessen +3

Around 5-10\% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from…

cs.CV2024★ 4 cited

Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images

Saul Fuster, Farbod Khoraminia, Julio Silva-Rodríguez +7

We present a pioneering investigation into the application of deep learning techniques to analyze histopathological images for addressing the substantial challenge of automated pro…

cs.CV2023★ 23 cited

Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation

Neel Kanwal, Trygve Eftestol, Farbod Khoraminia +2

Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Ima…

cs.CV2023

Object Detection During Newborn Resuscitation Activities

Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll +5

Birth asphyxia is a major newborn mortality problem in low-resource countries. International guideline provides treatment recommendations; however, the importance and effect of the…