Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation
Fuente:
arXiv
Guardado en:
| Autores principales: | Østmo, Eirik A., Wickstrøm, Kristoffer K., Radiya, Keyur, Kampffmeyer, Michael C., Mikalsen, Karl Øyvind, Jenssen, Robert |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
por: Wickstrøm, Kristoffer, et al.
Publicado: (2025)
por: Wickstrøm, Kristoffer, et al.
Publicado: (2025)
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
por: Wickstrøm, Kristoffer K., et al.
Publicado: (2024)
por: Wickstrøm, Kristoffer K., et al.
Publicado: (2024)
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
por: Salomonsen, Christian, et al.
Publicado: (2025)
por: Salomonsen, Christian, et al.
Publicado: (2025)
SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering
por: Singh, Durgesh, et al.
Publicado: (2025)
por: Singh, Durgesh, et al.
Publicado: (2025)
From Colors to Classes: Emergence of Concepts in Vision Transformers
por: Dorszewski, Teresa, et al.
Publicado: (2025)
por: Dorszewski, Teresa, et al.
Publicado: (2025)
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
por: Thrun, Solveig, et al.
Publicado: (2025)
por: Thrun, Solveig, et al.
Publicado: (2025)
Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models
por: Salahuddin, Suaiba Amina, et al.
Publicado: (2025)
por: Salahuddin, Suaiba Amina, et al.
Publicado: (2025)
Supercm: Revisiting Clustering for Semi-Supervised Learning
por: Singh, Durgesh, et al.
Publicado: (2025)
por: Singh, Durgesh, et al.
Publicado: (2025)
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
por: Salomonsen, Christian, et al.
Publicado: (2025)
por: Salomonsen, Christian, et al.
Publicado: (2025)
The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment
por: Thrun, Solveig, et al.
Publicado: (2025)
por: Thrun, Solveig, et al.
Publicado: (2025)
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [${}^{18}$F]FDG PET Images
por: Salomonsen, Christian, et al.
Publicado: (2025)
por: Salomonsen, Christian, et al.
Publicado: (2025)
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
por: Trosten, Daniel J., et al.
Publicado: (2020)
por: Trosten, Daniel J., et al.
Publicado: (2020)
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
por: Corbetta, Valentina, et al.
Publicado: (2025)
por: Corbetta, Valentina, et al.
Publicado: (2025)
Precise Liver Tumor Segmentation in CT Using a Hybrid Deep Learning-Radiomics Framework
por: Li, Xuecheng, et al.
Publicado: (2025)
por: Li, Xuecheng, et al.
Publicado: (2025)
EnLVAM: Enhanced Left Ventricle Linear Measurements Utilizing Anatomical Motion Mode
por: Singh, Durgesh K., et al.
Publicado: (2025)
por: Singh, Durgesh K., et al.
Publicado: (2025)
FLEXtime: Filterbank learning to explain time series
por: Brüsch, Thea, et al.
Publicado: (2024)
por: Brüsch, Thea, et al.
Publicado: (2024)
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
por: Singh, Durgesh Kumar, et al.
Publicado: (2025)
por: Singh, Durgesh Kumar, et al.
Publicado: (2025)
NOFE - Neural Operator Function Embedding
por: Uebbing, Lars, et al.
Publicado: (2026)
por: Uebbing, Lars, et al.
Publicado: (2026)
Tied Prototype Model for Few-Shot Medical Image Segmentation
por: Kim, Hyeongji, et al.
Publicado: (2025)
por: Kim, Hyeongji, et al.
Publicado: (2025)
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
por: Chakraborty, Rwiddhi, et al.
Publicado: (2024)
por: Chakraborty, Rwiddhi, et al.
Publicado: (2024)
FreqRISE: Explaining time series using frequency masking
por: Brüsch, Thea, et al.
Publicado: (2024)
por: Brüsch, Thea, et al.
Publicado: (2024)
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
por: Spaanderman, Douwe J., et al.
Publicado: (2024)
por: Spaanderman, Douwe J., et al.
Publicado: (2024)
Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
por: Ren, Jintao, et al.
Publicado: (2024)
por: Ren, Jintao, et al.
Publicado: (2024)
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT
por: Ostmeier, Sophie, et al.
Publicado: (2023)
por: Ostmeier, Sophie, et al.
Publicado: (2023)
A Multi-Stage Deep Learning Framework with PKCP-MixUp Augmentation for Pediatric Liver Tumor Diagnosis Using Multi-Phase Contrast-Enhanced CT
por: Wang, Wanqi, et al.
Publicado: (2025)
por: Wang, Wanqi, et al.
Publicado: (2025)
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis
por: Zhang, Yiqin, et al.
Publicado: (2025)
por: Zhang, Yiqin, et al.
Publicado: (2025)
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
por: Mancisidor, Rogelio A, et al.
Publicado: (2025)
por: Mancisidor, Rogelio A, et al.
Publicado: (2025)
Robust Classification by Coupling Data Mollification with Label Smoothing
por: Heinonen, Markus, et al.
Publicado: (2024)
por: Heinonen, Markus, et al.
Publicado: (2024)
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
por: Górka, Monika, et al.
Publicado: (2024)
por: Górka, Monika, et al.
Publicado: (2024)
HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
por: Abian, Arefin Ittesafun, et al.
Publicado: (2025)
por: Abian, Arefin Ittesafun, et al.
Publicado: (2025)
On-the-Fly Data Augmentation for Brain Tumor Segmentation
por: Jain, Ishika, et al.
Publicado: (2025)
por: Jain, Ishika, et al.
Publicado: (2025)
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation
por: Chen, Shiyun, et al.
Publicado: (2023)
por: Chen, Shiyun, et al.
Publicado: (2023)
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
por: Jha, Debesh, et al.
Publicado: (2024)
por: Jha, Debesh, et al.
Publicado: (2024)
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
por: Sun, Zijun, et al.
Publicado: (2025)
por: Sun, Zijun, et al.
Publicado: (2025)
TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT
por: Elbatel, Marawan, et al.
Publicado: (2026)
por: Elbatel, Marawan, et al.
Publicado: (2026)
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
por: Huang, Wei, et al.
Publicado: (2024)
por: Huang, Wei, et al.
Publicado: (2024)
ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions
por: Sampat, Shailaja Keyur, et al.
Publicado: (2024)
por: Sampat, Shailaja Keyur, et al.
Publicado: (2024)
Adversarial Multi-Task Learning for Liver Tumor Segmentation, Dynamic Enhancement Regression, and Classification
por: Xiao, Xiaojiao, et al.
Publicado: (2025)
por: Xiao, Xiaojiao, et al.
Publicado: (2025)
SYNCS: Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus Segmentation
por: Zalevskyi, Vladyslav, et al.
Publicado: (2024)
por: Zalevskyi, Vladyslav, et al.
Publicado: (2024)
Pre-Deployment Robustness Stress Testing for CT Segmentation Systems Using Clinically Motivated Multi-Corruption Augmentation
por: Kang, CholMin, et al.
Publicado: (2026)
por: Kang, CholMin, et al.
Publicado: (2026)
Ejemplares similares
-
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
por: Wickstrøm, Kristoffer, et al.
Publicado: (2025) -
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
por: Wickstrøm, Kristoffer K., et al.
Publicado: (2024) -
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
por: Salomonsen, Christian, et al.
Publicado: (2025) -
SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering
por: Singh, Durgesh, et al.
Publicado: (2025) -
From Colors to Classes: Emergence of Concepts in Vision Transformers
por: Dorszewski, Teresa, et al.
Publicado: (2025)