Vasileios Baltatzis

According to our database, Vasileios Baltatzis authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Neural Sign Actors: A diffusion model for 3D sign language production from text.

Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas, Guanxiong Sun, Jiankang Deng, Stefanos Zafeiriou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.

Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning.

Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation.

Vasileios Baltatzis, Luca Costabello

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2021

Is MC Dropout Bayesian?

Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker

CoRR, 2021

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.

Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker

CoRR, 2021

Voxel-Level Importance Maps for Interpretable Brain Age Estimation.

Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.

Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification.

Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data.

Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Bayesian Sampling Bias Correction: Training with the Right Loss Function.

Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker

CoRR, 2020

Patch-Based Brain Age Estimation from MR Images.

Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020