activity
20242026
collaborators

6 papers

cs.NI2026

Evaluating 5G-connected IoT for Power Line Temperature Prediction: Real-World Latency and Cost Trade-offs Between MEC and Cloud

Aakash Sharma, Sigmund Akselsen, Anders Andersen +2

One of the key promises of Mobile Edge Computing (MEC) is its low latency. Current large-scale IoT deployments rely on cloud for their reliability, low cost, and ease of use. For o…

cs.LG2025

From research to clinic: Accelerating the translation of clinical decision support systems by making synthetic data interoperable

Pavitra Chauhan, Mohsen Gamal Saad Askar, Kristian Svendsen +4

The translation of clinical decision support system (CDSS) tools from research settings into the clinic is often non-existent, partly because the focus tends to be on training mach…

q-bio.QM2025

Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline

Masoud Tafavvoghi, Lars Ailo Bongo, André Berli Delgado +5

In this study, we built an end-to-end tumor-infiltrating lymphocytes (TILs) assessment pipeline within QuPath, demonstrating the potential of easily accessible tools to perform com…

cs.CV2025

A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images

Nikita Shvetsov, Thomas K. Kilvaer, Masoud Tafavvoghi +4

Developing clinically useful cell-level analysis tools in digital pathology remains challenging due to limitations in dataset granularity, inconsistent annotations, high computatio…

cs.LG2025

Open-source framework for detecting bias and overfitting for large pathology images

Anders Sildnes, Nikita Shvetsov, Masoud Tafavvoghi +5

Even foundational models that are trained on datasets with billions of data samples may develop shortcuts that lead to overfitting and bias. Shortcuts are non-relevant patterns in…

cs.CV2024

Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer

Nikita Shvetsov, Anders Sildnes, Masoud Tafavvoghi +5

Addressing the critical need for accurate prognostic biomarkers in cancer treatment, quantifying tumor-infiltrating lymphocytes (TILs) in non-small cell lung cancer (NSCLC) present…