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M. Smits

10 papers hereh-index 6016.4k citations264 works total

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

author position
  • middle author10

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV7
  • cs.LG2
  • cs.CV1
same name
  • M. Smits — 2 papers, h 15
  • M. Smits — 1 paper, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 416 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

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…

eess.IV2020★ 3 cited

WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning

Sebastian R. van der Voort, Fatih Incekara, Maarten M. J. Wijnenga +14

Accurate characterization of glioma is crucial for clinical decision making. A delineation of the tumor is also desirable in the initial decision stages but is a time-consuming tas…

eess.IV2020

Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging

Bo Li, Marius de Groot, Rebecca M. E. Steketee +7

Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurodegeneration. To study these associations in more detail, it is highly important…

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