activity
20152026
most citedReplication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

320 citations · 398 across the 22 of their papers we have counts for

collaborators

22 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…

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.LG2025★ 1 cited

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.CV2025★ 1 cited

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.CL2024★ 1 cited

Prompt Engineering a Schizophrenia Chatbot: Utilizing a Multi-Agent Approach for Enhanced Compliance with Prompt Instructions

Per Niklas Waaler, Musarrat Hussain, Igor Molchanov +2

Patients with schizophrenia often present with cognitive impairments that may hinder their ability to learn about their condition. These individuals could benefit greatly from educ…

eess.IV2024

Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images

Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee +4

Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for…