Vasileios Baltatzis

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 19

Top Topics

Imbalanced Data

Mid Sagittal Plane

Cellular Automata

Top Venues

iMIMIC/TDA4MedicalData@MICCAI

Publications

Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas, Guanxiong Sun, Jiankang Deng, Stefanos Zafeiriou
Neural Sign Actors: A diffusion model for 3D sign language production from text. CoRR (2023)
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. CoRR (2023)
Vasileios Baltatzis, Luca Costabello
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation. LoG (2023)
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. GRAIL/OCELOT@MICCAI (2023)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert
Multimodal brain age estimation using interpretable adaptive population-graph learning. CoRR (2023)
Vasileios Baltatzis, Luca Costabello
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation. CoRR (2023)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert
Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning. MICCAI (8) (2023)
Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. iMIMIC/TDA4MedicalData@MICCAI (2021)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
Voxel-level Importance Maps for Interpretable Brain Age Estimation. CoRR (2021)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
Voxel-Level Importance Maps for Interpretable Brain Age Estimation. iMIMIC/TDA4MedicalData@MICCAI (2021)
Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker
Is MC Dropout Bayesian? CoRR (2021)
Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. ISBI (2021)
Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. CoRR (2021)
Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. CoRR (2021)
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
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. CoRR (2021)
Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. PRIME@MICCAI (2021)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
Patch-based Brain Age Estimation from MR Images. CoRR (2020)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
Patch-Based Brain Age Estimation from MR Images. MLCN/RNO-AI@MICCAI (2020)
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
Bayesian Sampling Bias Correction: Training with the Right Loss Function. CoRR (2020)