most citedVision Transformers for Small Histological Datasets Learned through Knowledge Distillation

23 citations · 26 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2024

Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds

Yuandou Wang, Neel Kanwal, Kjersti Engan +3

Efficiently processing medical images, such as whole slide images in digital pathology, is essential for timely diagnosing high-risk diseases. However, this demands advanced comput…

cs.AI20232 cited

Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education

Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan

The advancement of biomedical research heavily relies on access to large amounts of medical data. In the case of histopathology, Whole Slide Images (WSI) and clinicopathological in…

cs.CV202323 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…

eess.IV20231 cited

Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading

Zahra Tabatabaei, Adrian colomer, Kjersti Engan +2

According to GLOBOCAN 2020, prostate cancer is the second most common cancer in men worldwide and the fourth most prevalent cancer overall. For pathologists, grading prostate cance…

eess.IV2023

Deep Learning for Predicting Metastasis on Melanoma WSIs

Christopher Andreassen, Saul Fuster, Helga Hardardottir +2

Northern Europe has the second highest mortality rate of melanoma globally. In 2020, the mortality rate of melanoma rose to 1.9 per 100 000 habitants. Melanoma prognosis is based o…

eess.IV2023

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images

Saul Fuster, Farbod Khoraminia, Trygve Eftestøl +2

Accurate segmentation of tissue in histopathological images can be very beneficial for defining regions of interest (ROI) for streamline of diagnostic and prognostic tasks. Still,…