Saved in:
| Main Authors: | Siahkali, Farbod, Verma, Ashwin, Gupta, Vijay |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.14913 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-Grounded Adversarial Stain Augmentation with Calibrated Coverage Guarantees
by: Hong, Mingi
Published: (2026)
by: Hong, Mingi
Published: (2026)
A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
by: Verma, Hanuman, et al.
Published: (2026)
by: Verma, Hanuman, et al.
Published: (2026)
Multilook Coherent Imaging: Theoretical Guarantees and Algorithms
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models
by: Verma, Tushar, et al.
Published: (2024)
by: Verma, Tushar, et al.
Published: (2024)
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
by: Fröhlich, Alek, et al.
Published: (2024)
by: Fröhlich, Alek, et al.
Published: (2024)
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
by: Ekmekci, Canberk, et al.
Published: (2025)
by: Ekmekci, Canberk, et al.
Published: (2025)
Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
by: Gustafsson, Fredrik K., et al.
Published: (2024)
by: Gustafsson, Fredrik K., et al.
Published: (2024)
CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI
by: Fischer, Paul, et al.
Published: (2025)
by: Fischer, Paul, et al.
Published: (2025)
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
by: Luo, Rui, et al.
Published: (2024)
by: Luo, Rui, et al.
Published: (2024)
Fast Decision Boundary based Out-of-Distribution Detector
by: Liu, Litian, et al.
Published: (2023)
by: Liu, Litian, et al.
Published: (2023)
Detecting Out-of-Distribution Through the Lens of Neural Collapse
by: Liu, Litian, et al.
Published: (2023)
by: Liu, Litian, et al.
Published: (2023)
Navigating Distribution Shifts in Medical Image Analysis: A Survey
by: Su, Zixian, et al.
Published: (2024)
by: Su, Zixian, et al.
Published: (2024)
Diffusion Tensor Estimation with Uncertainty Calibration
by: Karimi, Davood, et al.
Published: (2021)
by: Karimi, Davood, et al.
Published: (2021)
Scaling Next-Brain-Token Prediction for MEG
by: Csaky, Richard
Published: (2026)
by: Csaky, Richard
Published: (2026)
SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
by: Waqas, Ali, et al.
Published: (2025)
by: Waqas, Ali, et al.
Published: (2025)
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees
by: Zhang, Yasi, et al.
Published: (2025)
by: Zhang, Yasi, et al.
Published: (2025)
Cross Layer Optimization and Distributed Reinforcement Learning for Wireless 360° Video Streaming
by: Elgabli, Anis, et al.
Published: (2020)
by: Elgabli, Anis, et al.
Published: (2020)
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)
Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
by: Liu, Fengchun, et al.
Published: (2025)
by: Liu, Fengchun, et al.
Published: (2025)
Few-shot Personalized Saliency Prediction Based on Interpersonal Gaze Patterns
by: Moroto, Yuya, et al.
Published: (2023)
by: Moroto, Yuya, et al.
Published: (2023)
Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
by: Li, Xiaoyan, et al.
Published: (2025)
by: Li, Xiaoyan, et al.
Published: (2025)
RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics
by: Zhang, Bojun, et al.
Published: (2026)
by: Zhang, Bojun, et al.
Published: (2026)
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning
by: Shang, Ruibo, et al.
Published: (2024)
by: Shang, Ruibo, et al.
Published: (2024)
Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
by: Sun, Jie, et al.
Published: (2024)
by: Sun, Jie, et al.
Published: (2024)
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging
by: Paschali, Magdalini, et al.
Published: (2024)
by: Paschali, Magdalini, et al.
Published: (2024)
Non-Destructive Prediction of Fruit Ripeness and Firmness Using Hyperspectral Imaging and Lightweight Machine Learning Models
by: Konrad, Phongsakon Mark, et al.
Published: (2026)
by: Konrad, Phongsakon Mark, et al.
Published: (2026)
ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction
by: Fang, Xiaocheng, et al.
Published: (2026)
by: Fang, Xiaocheng, et al.
Published: (2026)
Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings
by: Ridge, Jeremiah, et al.
Published: (2024)
by: Ridge, Jeremiah, et al.
Published: (2024)
BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning Algorithms
by: Sadeghsalehi, Hamidreza
Published: (2024)
by: Sadeghsalehi, Hamidreza
Published: (2024)
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
by: Cheung, Matt Y., et al.
Published: (2025)
by: Cheung, Matt Y., et al.
Published: (2025)
PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
by: Fajardo-Rojas, Diego, et al.
Published: (2025)
by: Fajardo-Rojas, Diego, et al.
Published: (2025)
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
by: Fan, Jianan, et al.
Published: (2024)
by: Fan, Jianan, et al.
Published: (2024)
Evaluating Test-Time Adaptation For Facial Expression Recognition Under Natural Cross-Dataset Distribution Shifts
by: Turnbull, John, et al.
Published: (2026)
by: Turnbull, John, et al.
Published: (2026)
Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts
by: Gordaliza, Pedro M., et al.
Published: (2025)
by: Gordaliza, Pedro M., et al.
Published: (2025)
HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet
by: Patro, Badri N., et al.
Published: (2026)
by: Patro, Badri N., et al.
Published: (2026)
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
by: Zhang, Xiaoge, et al.
Published: (2024)
by: Zhang, Xiaoge, et al.
Published: (2024)
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
by: Jonnarth, Arvi, et al.
Published: (2023)
by: Jonnarth, Arvi, et al.
Published: (2023)
Accurate, provable and fast polychromatic tomographic reconstruction: A variational inequality approach
by: Lou, Mengqi, et al.
Published: (2025)
by: Lou, Mengqi, et al.
Published: (2025)
Spectral Enhancement and Pseudo-Anchor Guidance for Infrared-Visible Person Re-Identification
by: Ge, Yiyuan, et al.
Published: (2024)
by: Ge, Yiyuan, et al.
Published: (2024)
Accelerating MRI with Longitudinally-informed Latent Posterior Sampling
by: Urman, Yonatan, et al.
Published: (2024)
by: Urman, Yonatan, et al.
Published: (2024)
Similar Items
-
Physics-Grounded Adversarial Stain Augmentation with Calibrated Coverage Guarantees
by: Hong, Mingi
Published: (2026) -
A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
by: Verma, Hanuman, et al.
Published: (2026) -
Multilook Coherent Imaging: Theoretical Guarantees and Algorithms
by: Chen, Xi, et al.
Published: (2025) -
Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models
by: Verma, Tushar, et al.
Published: (2024) -
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
by: Fröhlich, Alek, et al.
Published: (2024)