TuNet: End-to-End Hierarchical Brain Tumor Segmentation Using Cascaded Networks. - Minh H. Vu; Tufve Nyholm; Tommy Löfstedt (BrainLes@MICCAI (1), 2019)

Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain. - Minh H. Vu; Raphael Sznitman; Tufve Nyholm; Tommy Löfstedt (CLEF (Working Notes), 2019)

End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation. - Minh H. Vu; Guus Grimbergen; Attila Simkó; Tufve Nyholm; Tommy Löfstedt (CoRR, 2019)

Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation. - Minh H. Vu; Guus Grimbergen; Tufve Nyholm; Tommy Löfstedt (CoRR, 2019)

Multi-decoder Networks with Multi-denoising Inputs for Tumor Segmentation. - Minh H. Vu; Tufve Nyholm; Tommy Löfstedt (BrainLes@MICCAI (1), 2020)

A Question-Centric Model for Visual Question Answering in Medical Imaging. - Minh H. Vu; Tommy Löfstedt; Tufve Nyholm; Raphael Sznitman (IEEE Trans. Medical Imaging, 2020)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation. - Minh H. Vu; Gabriella Norman; Tufve Nyholm; Tommy Löfstedt (IEEE Trans. Medical Imaging, 2022)

LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space. - Lorenzo Tronchin; Minh H. Vu; Paolo Soda; Tommy Löfstedt (CoRR, 2023)

A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis. - Minh H. Vu; Daniel Edler; Carl Wibom; Tommy Löfstedt; Beatrice Melin; Martin Rosvall (CoRR, 2024)

Compressing the Activation Maps in Deep Convolutional Neural Networks and Its Regularizing Effect. - Minh H. Vu; Anders Garpebring; Tufve Nyholm; Tommy Löfstedt (Trans. Mach. Learn. Res., 2024)

Using Synthetic Images to Augment Small Medical Image Datasets. - Minh H. Vu; Lorenzo Tronchin; Tufve Nyholm; Tommy Löfstedt (CoRR, 2025)