11 citations · 11 across the 6 of their papers we have counts for
6 papers
MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language Models
Boqi Chen, Xudong Liu, Jiachuan Peng +5
Multimodal large language models (MLLMs) have shown great potential in medical applications, yet existing benchmarks inadequately capture real-world clinical complexity. We introdu…
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…
Downstream Analysis of Foundational Medical Vision Models for Disease Progression
Basar Demir, Soumitri Chattopadhyay, Thomas Hastings Greer +2
Medical vision foundational models are used for a wide variety of tasks, including medical image segmentation and registration. This work evaluates the ability of these models to p…
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage
Isidora Chara Tourni, Lei Guo, Hengchang Hu +9
News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on…
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…
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities
Boqi Chen, Marc Niethammer
Multiple imaging modalities are often used for disease diagnosis, prediction, or population-based analyses. However, not all modalities might be available due to cost, different st…