Vibujithan Vigneshwaran

According to our database, Vibujithan Vigneshwaran authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge.

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, April, 2026

MACAW: A Causal Generative Model for Medical Imaging.

Vibujithan Vigneshwaran, Erik Y. Ohara, Matthias Wilms, Nils Daniel Forkert

Trans. Mach. Learn. Res., 2026

A Cascaded Yolo-Based Framework for Robust Cervical Cell Detection in Pap Smear Images.

Vibujithan Vigneshwaran, Chris Kang, Nils D. Forkert

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Riva Cytology Classification and Detection: A Lesson on How "None of Us is as Smart as All of Us".

Chris Kang, Vibujithan Vigneshwaran, Nils D. Forkert

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Exploring Xeno-Learning for Brain Image Synthesis: An Image-to-Image Translation Approach to Cross-Species Knowledge Transfer.

Jessica Bohm, Vibujithan Vigneshwaran, Emma A. M. Stanley, Yohan Yee, Nils D. Forkert

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging.

Emma A. M. Stanley, Vibujithan Vigneshwaran, Erik Y. Ohara, Finn G. Vamosi, Nils D. Forkert, Matthias Wilms

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?

Raissa Souza, Anthony J. Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli, Oury Monchi, Matthias Wilms, Nils D. Forkert

IEEE J. Biomed. Health Informatics, April, 2024

A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children.

Matthias Wilms, Ahmad O. Ahsan, Erik Y. Ohara, Gabrielle Dagasso, Elizabeth Macavoy, Emma A. M. Stanley, Vibujithan Vigneshwaran, Nils D. Forkert

Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024

2023

Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference.

Vibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho, Raissa Souza, Nils D. Forkert

Proceedings of the Medical Imaging with Deep Learning, 2023

Image-Based Tools and Analysis for Human RVOT/RV Structures.

Mark L. Trew, Gregory B. Sands, Zhiyong Yang, Jesse L. Ashton, Vibujithan Vigneshwaran, Richard D. Walton, Olivier Bernus, Bruce H. Smaill

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023