Vasileios Baltatzis

22 papers A* 2Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
Towards AI-driven Sign Language Generation with Non-manual Markers.
CHI
Han Zhang, Rotem Shalev-Arkushin, Vasileios Baltatzis, Connor Gillis, Gierad Laput, Raja S. Kushalnagar, Lorna C. Quandt, Leah Findlater, Abdelkareem Bedri, Colin Lea
2025 J jnl
Towards AI-driven Sign Language Generation with Non-manual Markers.
CoRR
Han Zhang, Rotem Shalev-Arkushin, Vasileios Baltatzis, Connor Gillis, Gierad Laput, Raja S. Kushalnagar, Lorna C. Quandt, Leah Findlater, Abdelkareem Bedri, Colin Lea
2024 A* conf
Neural Sign Actors: A diffusion model for 3D sign language production from text.
CVPR
Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas, Guanxiong Sun, Jiankang Deng, Stefanos Zafeiriou
2023 — conf
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.
GRAIL/OCELOT@MICCAI
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2023 J jnl
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.
CoRR
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2023 — conf
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation.
LoG
Vasileios Baltatzis, Luca Costabello
2023 J jnl
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation.
CoRR
Vasileios Baltatzis, Luca Costabello
2023 — conf
Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning.
MICCAI (8)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert
2023 J jnl
Multimodal brain age estimation using interpretable adaptive population-graph learning.
CoRR
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert
2023 J jnl
Neural Sign Actors: A diffusion model for 3D sign language production from text.
CoRR
Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas, Guanxiong Sun, Jiankang Deng, Stefanos Zafeiriou
2021 J jnl
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.
CoRR
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
2021 J jnl
Is MC Dropout Bayesian?
CoRR
Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker
2021 — conf
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data.
ISBI
Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 — conf
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.
iMIMIC/TDA4MedicalData@MICCAI
Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 J jnl
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.
CoRR
Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 — conf
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification.
PRIME@MICCAI
Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 J jnl
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification.
CoRR
Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021 — conf
Voxel-Level Importance Maps for Interpretable Brain Age Estimation.
iMIMIC/TDA4MedicalData@MICCAI
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2021 J jnl
Voxel-level Importance Maps for Interpretable Brain Age Estimation.
CoRR
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2020 J jnl
Bayesian Sampling Bias Correction: Training with the Right Loss Function.
CoRR
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
2020 — conf
Patch-Based Brain Age Estimation from MR Images.
MLCN/RNO-AI@MICCAI
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
2020 J jnl
Patch-based Brain Age Estimation from MR Images.
CoRR
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert