J. Alison Noble
16 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver β‘ Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI Β· Artificial Intelligence
(4)
Learning Paradigms
(4)
Computer Vision
(3)
Healthcare & Medicine
(2)
Machine Learning
(2)
Application Areas
(2)
Architectures
(2)
Clinical
(2)
Domain-Specific
(2)
Learning Types
(2)
Processing
(2)
Analysis
(1)
Core AI Β· Computer Vision
(1)
Keywords
federated learning
(4)
knowledge distillation
(2)
vision-language model
(2)
multimodal learning
(2)
parameter-efficient fine-tuning
(2)
medical image segmentation
(2)
machine unlearning
(1)
probabilistic model
(1)
probabilistic modeling
(1)
human feedback
(1)
interactive segmentation
(1)
neural collapse
(1)
human-ai collaboration
(1)
disease detection
(1)
calibration error
(1)
heterogeneous data
(1)
visual query
(1)
trustworthy ai
(1)
uncertainty quantification
(1)
neural tangent kernel
(1)
Papers
POUR: A Provably Optimal Method for Unlearning Representation via Neural Collapse
CVPR 2026
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
CVPR 2025
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
WACV 2025
FedPIA β Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
AAAI 2025
Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection
AAAI 2025
Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
MICCAI 2025
MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer
AAAI 2025
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
MICCAI 2025
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
ICCV 2025
Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models
AAAI 2025
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
MICCAI 2024
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
MICCAI 2024
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
MICCAI 2024
STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos
MICCAI 2024
Zoom Pattern Signatures for Fetal Ultrasound Structures
MICCAI 2024
Unified Image and Video Saliency Modeling
ECCV 2020