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researcher

I. Ramakers

3 papers hereh-index 365.9k citations193 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedAn Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025★ 1 cited

Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification

Kaouther Mouheb, Marawan Elbatel, Janne Papma +8

While foundation models (FMs) offer strong potential for AI-based dementia diagnosis, their integration into federated learning (FL) systems remains underexplored. In this benchmar…

eess.IV2023★ 1 cited

An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease

Wenjie Kang, Bo Li, Janne M. Papma +9

Machine learning methods have shown large potential for the automatic early diagnosis of Alzheimer's Disease (AD). However, some machine learning methods based on imaging data have…

eess.IV2020

Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease

Esther E. Bron, Stefan Klein, Janne M. Papma +14

This work validates the generalizability of MRI-based classification of Alzheimer's disease (AD) patients and controls (CN) to an external data set and to the task of prediction of…

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