Jodie Avery

According to our database, Jodie Avery authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EndoExtract: Co-Designing Structured Text Extraction from Endometriosis Ultrasound Reports.

Haiyi Li, Yiyang Zhao, Yutong Li, Alison Deslandes, Jodie Avery, Mathew Leonardi, M. Louise Hull, Hsiang-Ting Chen

CoRR, January, 2026

Who Fails Where? LLM and Human Error Patterns in Endometriosis Ultrasound Report Extraction.

Haiyi Li, Yutong Li, Yiheng Chi, Alison Deslandes, Mathew Leonardi, Shay Freger, Yuan Zhang, Jodie Avery, Mary Louise Hull, Hsiang-Ting Chen

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis.

Yuan Zhang, Hu Wang, David Butler, Brandon Smart, Yutong Xie, Minh-Son To, Steven Knox, George Condous, Mathew Leonardi, Jodie C. Avery, M. Louise Hull, Gustavo Carneiro

Comput. Medical Imaging Graph., 2025

A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification.

Yuan Zhang, Yutong Xie, Hu Wang, Jodie C. Avery, M. Louise Hull, Gustavo Carneiro

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis.

Hu Wang, David Butler, Yuan Zhang, Jodie Avery, Steven Knox, Congbo Ma, Louise Hull, Gustavo Carneiro

CoRR, 2024

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities.

Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro

CoRR, 2024

Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels.

Daniel Petashvili, Hu Wang, Alison Deslandes, Jodie Avery, George Condous, Gustavo Carneiro, Louise Hull, Hsiang-Ting Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.

Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

CoRR, 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.

Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images.

Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification.

David Butler, Hu Wang, Yuan Zhang, Minh-Son To, George Condous, Mathew Leonardi, Steven Knox, Jodie Avery, M. Louise Hull, Gustavo Carneiro

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling.

Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction.

Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2022, 2022