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Papers matching “transformer modeling” 117

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TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Mohammad T. Al-Antary, Moein Heidari, Dorit Merhof

0

citations
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, +1 more

6

citations
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah

0

citations
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
2023 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Sophia J. Wagner, Daniel Reisenbüchler, Nicholas Paul West, Jan Niehues, Gregory Patrick Veldhuizen, Philip Quirke, +24 more

6

citations
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Ruochen Gao, Donghang Lyu, Marius Staring

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
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
Mechanistic Interpretability for Transformer-based Time Series Classification
2025 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

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

0

citations
Contextual Attention Network: Transformer Meets U-Net
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof

0

citations
Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading
2026 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Fatemeh Javadian, Zhu Chen, Zahra Aminparast, Johannes Stegmaier

0

citations
Grand Challenges for Predictive Modeling in Small Molecule Drug Discovery
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Connor W. Coley, Marco De Vivo, Willem Jespers, Ashutosh S. Jogalekar, S Roy Kimura, Lucien Koenekoop, +6 more

1

citations
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof

5

citations
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

0

citations
Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Arian Askari, Suzan Verberne, Amin Abolghasemi, Wessel Kraaij, Gabriella Pasi

1

citations
Online-Extractability in the Quantum Random-Oracle Model
2021 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Jelle Don, Serge Fehr, Christian Majenz, Christian Schaffner

3

citations
Test Time Transform Prediction for Open Set Histopathological Image Recognition
2022 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Adrián Galdrán, Katherine Jane Hewitt, Narmin L. Ghaffari, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Á. González Ballester

0

citations
A Comparative Analysis of Attention versus State-Space Models for In-Context Learning
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Enes Arda, Semih Çaycı, Atilla Eryılmaz

0

citations
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof

1

citations
Generating Piano Music with Transformers: A Comparative Study of Scale, Data, and Metrics
2025 arXiv (Cornell University) preprint Computer Science Music Technology and Sound Studies Open access

Jonathan Lehmkuhl, Ábel Ilyés-Kun, Nico Bremes, Cemhan Kaan Özaltan, Frederik Muthers, Jiayi Yuan

0

citations
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

1

citations
Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Martin Aubard, László Antal, Ana Maria Madureira, Erika Ábrahám

8

citations
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wei Guo Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney

1

citations
When Should an In-Context Learner Expand Its Hypothesis Space?
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Weihan Li, Xinlei Chen, Junhao Wu, Tianshi Zheng

0

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
ACTIVA: Amortized Causal Effect Estimation via Variational Autoencoders
2025 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Saber Salehkaleybar, Frank van Harmelen, Aske Plaat, Erman Acar

0

citations