5 papers
Relaxed Efficient Acquisition of Context and Temporal Features
Yunni Qu, Dzung Dinh, Grant King +5
In many biomedical applications, measurements are not freely available at inference time: each laboratory test, imaging modality, or assessment incurs financial cost, time burden,…
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
Dzung Dinh, Boqi Chen, Yunni Qu +2
In many critical domains, features are not freely available at inference time: each measurement may come with a cost of time, money, and risk. Longitudinal prediction further compl…
VIN-NBV: A View Introspection Network for Next-Best-View Selection
Noah Frahm, Dongxu Zhao, Andrea Dunn Beltran +4
Next Best View (NBV) algorithms aim to maximize 3D scene acquisition quality using minimal resources, e.g. number of acquisitions, time taken, or distance traversed. Prior methods…
Localizing Anomalies via Multiscale Score Matching Analysis
Ahsan Mahmood, Junier Oliva, Martin Styner
Anomaly detection and localization in medical imaging remain critical challenges in healthcare. This paper introduces Spatial-MSMA (Multiscale Score Matching Analysis), a novel uns…
A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness
Boqi Chen, Junier Oliva, Marc Niethammer
Medical records often consist of different modalities, such as images, text, and tabular information. Integrating all modalities offers a holistic view of a patient's condition, wh…