Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training
Fuente:
arXiv
Saved in:
| Main Authors: | Dawood, Tareen, Ruijsink, Bram, Razavi, Reza, King, Andrew P., Puyol-Antón, Esther |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
by: Islam, Iman, et al.
Published: (2024)
by: Islam, Iman, et al.
Published: (2024)
Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data
by: Wickremasinghe, Dewmini Hasara, et al.
Published: (2026)
by: Wickremasinghe, Dewmini Hasara, et al.
Published: (2026)
Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation
by: Wickremasinghe, Dewmini Hasara, et al.
Published: (2024)
by: Wickremasinghe, Dewmini Hasara, et al.
Published: (2024)
An investigation into the causes of race bias in AI-based cine CMR segmentation
by: Lee, Tiarna, et al.
Published: (2024)
by: Lee, Tiarna, et al.
Published: (2024)
Understanding-informed Bias Mitigation for Fair CMR Segmentation
by: Lee, Tiarna, et al.
Published: (2025)
by: Lee, Tiarna, et al.
Published: (2025)
Detecting and refurbishing ground truth errors during training of deep learning-based echocardiography segmentation models
by: Islam, Iman, et al.
Published: (2026)
by: Islam, Iman, et al.
Published: (2026)
Optimally Deep Networks -- Adapting Model Depth to Datasets for Superior Efficiency
by: Tareen, Shaharyar Ahmed Khan, et al.
Published: (2025)
by: Tareen, Shaharyar Ahmed Khan, et al.
Published: (2025)
Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-based Alzheimer's Disease Classification
by: Achara, Akshit, et al.
Published: (2025)
by: Achara, Akshit, et al.
Published: (2025)
Localising Shortcut Learning in Pixel Space via Ordinal Scoring Correlations for Attribution Representations (OSCAR)
by: Achara, Akshit, et al.
Published: (2025)
by: Achara, Akshit, et al.
Published: (2025)
DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
by: Yuan, Zhen, et al.
Published: (2024)
by: Yuan, Zhen, et al.
Published: (2024)
DeepDetect: Learning All-in-One Dense Keypoints
by: Tareen, Shaharyar Ahmed Khan, et al.
Published: (2025)
by: Tareen, Shaharyar Ahmed Khan, et al.
Published: (2025)
Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants
by: Ugurlu, Devran, et al.
Published: (2025)
by: Ugurlu, Devran, et al.
Published: (2025)
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
by: Akgül, Abdullah, et al.
Published: (2024)
by: Akgül, Abdullah, et al.
Published: (2024)
QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems
by: Ye, Cassandra Tong, et al.
Published: (2025)
by: Ye, Cassandra Tong, et al.
Published: (2025)
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
by: Karimi, Hamed, et al.
Published: (2023)
by: Karimi, Hamed, et al.
Published: (2023)
From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty
by: Jenane, Azza, et al.
Published: (2026)
by: Jenane, Azza, et al.
Published: (2026)
Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks
by: Jimenez, Felix, et al.
Published: (2025)
by: Jimenez, Felix, et al.
Published: (2025)
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift
by: Achara, Akshit, et al.
Published: (2026)
by: Achara, Akshit, et al.
Published: (2026)
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)
by: Tsai, Ting Yu, et al.
Published: (2024)
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
by: Kuleshov, Volodymyr, et al.
Published: (2021)
by: Kuleshov, Volodymyr, et al.
Published: (2021)
Beyond Confidence: Rethinking Uncertainty Calibration in Deep Code Models
by: Anonymous Authors
Published: (2026)
by: Anonymous Authors
Published: (2026)
Deep Uncertainty-aware Tracking for Maneuvering Targets
by: Zhang, Shuyang, et al.
Published: (2024)
by: Zhang, Shuyang, et al.
Published: (2024)
PUNCH: Physics-informed Uncertainty-aware Network for Coronary Hemodynamics
by: Thakur, Sukirt, et al.
Published: (2026)
by: Thakur, Sukirt, et al.
Published: (2026)
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning
by: Kang, Ju Yeon, et al.
Published: (2025)
by: Kang, Ju Yeon, et al.
Published: (2025)
Calibrated Uncertainty Sampling for Active Learning
by: Bui, Ha Manh, et al.
Published: (2025)
by: Bui, Ha Manh, et al.
Published: (2025)
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
by: Conde, Pedro, et al.
Published: (2023)
by: Conde, Pedro, et al.
Published: (2023)
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification
by: Schulze, Michael, et al.
Published: (2025)
by: Schulze, Michael, et al.
Published: (2025)
The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models
by: Shah, Partha, et al.
Published: (2025)
by: Shah, Partha, et al.
Published: (2025)
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
by: Wasif, Dawood, et al.
Published: (2025)
by: Wasif, Dawood, et al.
Published: (2025)
Uncertainty Weighted Gradients for Model Calibration
by: Lin, Jinxu, et al.
Published: (2025)
by: Lin, Jinxu, et al.
Published: (2025)
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
by: Tao, Linwei, et al.
Published: (2024)
by: Tao, Linwei, et al.
Published: (2024)
Measuring Uncertainty Calibration
by: Ciosek, Kamil, et al.
Published: (2025)
by: Ciosek, Kamil, et al.
Published: (2025)
Unified Uncertainty Calibration
by: Chaudhuri, Kamalika, et al.
Published: (2023)
by: Chaudhuri, Kamalika, et al.
Published: (2023)
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning
by: Wang, Yuanyuan, et al.
Published: (2024)
by: Wang, Yuanyuan, et al.
Published: (2024)
CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment
by: Mendes, Pedro, et al.
Published: (2025)
by: Mendes, Pedro, et al.
Published: (2025)
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
by: Dai, Quanyu, et al.
Published: (2025)
by: Dai, Quanyu, et al.
Published: (2025)
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
by: Cheraghi, Radin, et al.
Published: (2025)
by: Cheraghi, Radin, et al.
Published: (2025)
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
by: Decker, Thomas, et al.
Published: (2025)
by: Decker, Thomas, et al.
Published: (2025)
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion
by: Zhang, Xu, et al.
Published: (2024)
by: Zhang, Xu, et al.
Published: (2024)
GNN's Uncertainty Quantification using Self-Distillation
by: Daneshvar, Hirad, et al.
Published: (2025)
by: Daneshvar, Hirad, et al.
Published: (2025)
Similar Items
-
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
by: Islam, Iman, et al.
Published: (2024) -
Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data
by: Wickremasinghe, Dewmini Hasara, et al.
Published: (2026) -
Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation
by: Wickremasinghe, Dewmini Hasara, et al.
Published: (2024) -
An investigation into the causes of race bias in AI-based cine CMR segmentation
by: Lee, Tiarna, et al.
Published: (2024) -
Understanding-informed Bias Mitigation for Fair CMR Segmentation
by: Lee, Tiarna, et al.
Published: (2025)