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Papers matching “transformer attention” 86

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Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear
2023 Knowledge-Based Systems article Computer Science AI in cancer detection Open access

Bo Yu, Hechang Chen, Yifei Wang, Yuxing Zhao, Xianling Cong, Jouke Dijkstra, +1 more

16

citations
Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI
2022 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques

Xiaowu Sun, Li‐Hsin Cheng, Sven Plein, Pankaj Garg, Rob J. van der Geest

2

citations
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
2023 Lecture notes in computer science conference-paper Computer Science AI in cancer detection

Firas Khader, Jakob Nikolas Kather, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn

0

citations
Mechanistic Interpretability for Transformer-Based Time Series Classification
2026 Communications in computer and information science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Matīss Kalnāre, Sofoklis Kitharidis, Thomas Bäck, Bas van Stein

0

citations
Transformer-based multiclass segmentation pipeline for basic kidney histology
2025 medRxiv preprint Computer Science AI in cancer detection Open access

Junling He, P. Valkema, Jingmin Long, Li-Jia Li, Sandrine Florquin, Maarten Naesens, +8 more

0

citations
Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding
2026 Lecture notes in computer science conference-paper Computer Science Advanced Neural Network Applications Open access

Adrian Kruse, Tristan Höfer, Daan de Geus, Bastian Leibe

0

citations
Integration of Key-value Attention into Pure and Hybrid Transformers for Semantic Segmentation
2025 Informatik aktuell conference-paper Computer Science Advanced Neural Network Applications Open access

DeShin Hwa, Klaus Drechsler

0

citations
Transformer-based multiclass segmentation pipeline for basic kidney histology
2025 Scientific Reports article Computer Science AI in cancer detection Open access

Junling He, P. Valkema, Jingmin Long, Jia Li, Sandrine Florquin, Maarten Naesens, +8 more

6

citations
TransCeption: Enhancing Medical Image Segmentation with an Inception-Like Transformer Design for Efficient Feature Fusion
2025 Computational Visual Media article Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen‐Adad, Dorit Merhof

8

citations
MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Sina Ghorbani Kolahi, S. Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, +2 more

6

citations
Residual bayesian attention networks for uncertainty quantification in regression tasks
2025 Scientific Reports article Computer Science Gaussian Processes and Bayesian Inference Open access

Youliang Chen, Wencan Guan, Rafig Azzam

10

citations
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
2023 RWTH Publications (RWTH Aachen) preprint Computer Science AI in cancer detection Open access

Firas Khader, Jakob Nikolas Kather, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn

1

citations
DrugEx v3: scaffold-constrained drug design with graph transformer-based reinforcement learning
2023 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen

91

citations
DrugEx v3: Scaffold-Constrained Drug Design with Graph Transformer-based Reinforcement Learning
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen

11

citations
Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zhipei Qin, Mohammad Shokri, N. van Weeren, Frank W. Takes

0

citations
Locality-Sensitive Hashing for Long Context Neural Machine Translation
2022 International Conference on Spoken Language Translation (IWSLT) conference-paper Computer Science Natural Language Processing Techniques Open access

Frithjof Petrick, Jan Rosendahl, Christian Herold, Hermann Ney

5

citations
A survey of deep learning in image processing: developments, applications and challenges
2026 Artificial Intelligence Review article Computer Science Advanced Neural Network Applications Open access

Zhan Xiong, Xiaoqin Tang, Fons J. Verbeek

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Aligning Transformers with Weisfeiler-Leman
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

0

citations
Towards Principled Graph Transformers
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

0

citations
Generalizable Insights for Graph Transformers in Theory and Practice
2025 neural information processing systems conference-paper Computer Science Advanced Graph Neural Networks Open access

Timo Stoll

0

citations
Memory-augemented generative adversarial transformers
2024 TNO Repository preprint Computer Science Speech and dialogue systems Open access

S. Raaijmakers, A. Cremers, R. de Kleijn, T. Kouwenhoven, T. Verhoef

0

citations
Memory-Augmented Generative Adversarial Transformers
2024 arXiv (Cornell University) preprint Computer Science Speech and dialogue systems Open access

Stephan Raaijmakers, Roos M. Bakker, Roy de Kleijn, Tom Kouwenhoven, Tessa Verhoef

0

citations
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, +5 more

4

citations
ViT-Enhanced Prompts: Integrating Pre-Trained Knowledge for Robust Continuous Learning
2025 International Conference on Multimedia Retrieval conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Guoqiang Xiao, Michael S. Lew, Song Wu

2

citations