Fernanda L. Ribeiro

According to our database, Fernanda L. Ribeiro authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Segmentation of the human tongue musculature using MRI: Field guide and validation in motor neuron disease.

Thomas B. Shaw, Fernanda L. Ribeiro, Xiangyun Zhu, Patrick Aiken, Saskia Bollmann, Steffen Bollmann, Jeryn Chang, Kali Chidley, Harriet Dempsey-Jones, Zeinab Eftekhari, Jennifer Gillespie, Robert Henderson, Matthew C. Kiernan, Ira Ktena, Pamela A. McCombe, Shyuan Ngo, Shana T. Taubert, Brooke-Mai Whelan, Xincheng Ye, Frederik Steyn, Sicong Tu, Markus Barth

Comput. Biol. Medicine, 2025

2024

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms.

Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristóbal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger

CoRR, 2024

Modality-Specific Strategies for Medical Image Segmentation Using Lightweight SAM Architectures.

Thuy Thanh Dao, Xincheng Ye, Joshua D. Scarsbrook, Balarupan Gowrienanthan, Fernanda L. Ribeiro, Steffen Bollmann

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

2022

An explainability framework for cortical surface-based deep learning.

Fernanda L. Ribeiro, Steffen Bollmann, Ross Cunnington, Alexander M. Puckett

CoRR, 2022

2021

Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning.

Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett

NeuroImage, 2021

2020

DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning.

Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett

CoRR, 2020