Cover Image

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bransby, Kit Mills, Beqiri, Arian, Kim, Woo-Jin Cho, Oliveira, Jorge, Chartsias, Agisilaos, Gomez, Alberto
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
by: Bransby, Kit M., et al.
Published: (2024)

Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling
by: Judge, Thierry, et al.
Published: (2025)

Learning to Stop: Reinforcement Learning for Efficient Patient-Level Echocardiographic Classification
by: Kim, Woo-Jin Cho, et al.
Published: (2025)

BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
by: Wang, Yu, et al.
Published: (2025)

Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation
by: Kwon, JuneHyoung, et al.
Published: (2024)

Joint Dense-Point Representation for Contour-Aware Graph Segmentation
by: Bransby, Kit Mills, et al.
Published: (2023)

Fully Automatic Data Labeling for Ultrasound Screen Detection
by: Gomez, Alberto, et al.
Published: (2025)

Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms
by: Stojanovski, David, et al.
Published: (2024)

FIRE: Unsupervised bi-directional inter-modality registration using deep networks
by: Wang, Chengjia, et al.
Published: (2019)

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
by: Guo, Yufei, et al.
Published: (2024)

Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image
by: Wu, Shaoxuan, et al.
Published: (2024)

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
by: Kuhn, Lukas, et al.
Published: (2025)

Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles
by: Scimeca, Luca, et al.
Published: (2023)

Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning
by: Xia, Jiaer, et al.
Published: (2025)

EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function
by: Stenhede, Elias, et al.
Published: (2026)

ClearGCD: Mitigating Shortcut Learning For Robust Generalized Category Discovery
by: Lyu, Kailin, et al.
Published: (2025)

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning
by: Dolatabadi, Hadi M., et al.
Published: (2024)

Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation
by: Highton, Jack, et al.
Published: (2024)

Int3DNet: Scene-Motion Cross Attention Network for 3D Intention Prediction in Mixed Reality
by: Ha, Taewook, et al.
Published: (2026)

Anatomically Constrained Transformers for Echocardiogram Analysis
by: Thorley, Alexander, et al.
Published: (2025)

ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion
by: Woo, Sungmin, et al.
Published: (2024)

TriLite: Efficient Weakly Supervised Object Localization with Universal Visual Features and Tri-Region Disentanglement
by: Sabaghi, Arian, et al.
Published: (2026)

Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study
by: Müller, Sarah, et al.
Published: (2026)

Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
by: Kim, Dong-Hee, et al.
Published: (2024)

InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography
by: Li, Zhe, et al.
Published: (2025)

On the Foundations of Shortcut Learning
by: Hermann, Katherine L., et al.
Published: (2023)

A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation
by: Han, Xiaoxiang, et al.
Published: (2024)

Beyond Shortcuts: Mitigating Visual Illusions in Frozen VLMs via Qualitative Reasoning
by: Guo, Hao, et al.
Published: (2026)

SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
by: Kim, Ye-Chan, et al.
Published: (2026)

D3.1: Technology and edge processing enablers, and service processing optimisation solutions (1st version)
by: Chartsias, Kostas
Published: (2025)

Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition
by: Ahn, Geo, et al.
Published: (2026)

Shortcut Learning Susceptibility in Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)

ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
by: Ciusdel, Costin F., et al.
Published: (2025)

Preventing Shortcuts in Adapter Training via Providing the Shortcuts
by: Goyal, Anujraaj Argo, et al.
Published: (2025)

Breaking the Visual Shortcuts in Multimodal Knowledge-Based Visual Question Answering
by: Lee, Dosung, et al.
Published: (2025)

A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs
by: Krojer, Benno, et al.
Published: (2025)

EchoVLM: Measurement-Grounded Multimodal Learning for Echocardiography
by: Li, Yuheng, et al.
Published: (2025)

Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis
by: Kim, Sekeun, et al.
Published: (2024)

MinBackProp -- Backpropagating through Minimal Solvers
by: Sungatullina, Diana, et al.
Published: (2024)

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
by: Kim, Sunoh, et al.
Published: (2023)