Cover Image

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghosh, Shiv, Lateef, Junayd, Liu, Chih-Hua, Yu, Yannan, Rauschecker, Andreas M., Sushil, Madhumita
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights
by: Mishra, Deepali, et al.
Published: (2025)

UCSF-PDGM-1
by: Hao, Min
Published: (2025)

CommVQA: Situating Visual Question Answering in Communicative Contexts
by: Naik, Nandita Shankar, et al.
Published: (2024)

VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering
by: Yang, Shuo, et al.
Published: (2025)

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
by: Butsanets, Léo, et al.
Published: (2025)

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts
by: Singh, Shubhankar, et al.
Published: (2024)

AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings
by: Li, Haoxuan, et al.
Published: (2025)

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
by: Kim, Minjun, et al.
Published: (2024)

Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations
by: Yeh, Yahsin, et al.
Published: (2025)

LoRE: Logit-Ranked Retriever Ensemble for Enhancing Open-Domain Question Answering
by: Sanniboina, Saikrishna, et al.
Published: (2024)

Multimodal LLM With Hierarchical Mixture-of-Experts for VQA on 3D Brain MRI
by: Vepa, Arvind Murari, et al.
Published: (2025)

FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
by: Huang, Chengyue, et al.
Published: (2025)

Selectively Answering Visual Questions
by: Eisenschlos, Julian Martin, et al.
Published: (2024)

Visual concept ranking uncovers medical shortcuts used by large multimodal models
by: Janizek, Joseph D., et al.
Published: (2026)

A systematic review of trial-matching pipelines using large language models
by: Morrison, Braxton A., et al.
Published: (2025)

Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering
by: Jiang, Bowen, et al.
Published: (2024)

Multimodal Integration of Human-Like Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
by: Yu, Zeping, et al.
Published: (2024)

ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in Images
by: Van Nguyen, Quan, et al.
Published: (2024)

Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis
by: Fan, Lin, et al.
Published: (2024)

EVJVQA Challenge: Multilingual Visual Question Answering
by: Nguyen, Ngan Luu-Thuy, et al.
Published: (2023)

Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA
by: Mo, Wentao, et al.
Published: (2024)

Visual Robustness Benchmark for Visual Question Answering (VQA)
by: Ishmam, Md Farhan, et al.
Published: (2024)

Efficient Multimodal Planning Agent for Visual Question-Answering
by: Chen, Zhuo, et al.
Published: (2026)

Knowledge-Based Counterfactual Queries for Visual Question Answering
by: Stoikou, Theodoti, et al.
Published: (2023)

LIVE: Learnable In-Context Vector for Visual Question Answering
by: Peng, Yingzhe, et al.
Published: (2024)

DARE: Diverse Visual Question Answering with Robustness Evaluation
by: Sterz, Hannah, et al.
Published: (2024)

BERT-VQA: Visual Question Answering on Plots
by: Vu, Tai, et al.
Published: (2025)

AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning
by: Zhang, Peifeng, et al.
Published: (2026)

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
by: Long, Xinwei, et al.
Published: (2025)

Hallucination Benchmark in Medical Visual Question Answering
by: Wu, Jinge, et al.
Published: (2024)

A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
by: Inadumi, Shun, et al.
Published: (2024)

Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration
by: Nguyen, Ngoc Son, et al.
Published: (2024)

Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering
by: Tilli, Pascal, et al.
Published: (2024)

Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective
by: Chen, Boqi, et al.
Published: (2026)

Discrete Subgraph Sampling for Interpretable Graph based Visual Question Answering
by: Tilli, Pascal, et al.
Published: (2024)

Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
by: Park, ChaeHun, et al.
Published: (2024)

TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering
by: Sengupta, Saptarshi, et al.
Published: (2023)

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset
by: Rudie, Jeffrey D., et al.
Published: (2023)