:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Orlando, Giuseppe A., Papotti, Paolo, Zuluaga, Maria A., Humbert, Olivier, Lorenzi, Marco
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.01779
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedSPOT: A Workflow-Aware Sequential Grounding Benchmark for Clinical GUI
by: Shakeel, Rozain, et al.
Published: (2026)

Privacy Preserving Image Registration
by: Taiello, Riccardo, et al.
Published: (2022)

ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
by: Pellicer, Alvaro Lopez, et al.
Published: (2026)

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows
by: Shen, Weixiang, et al.
Published: (2026)

MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports
by: Kyung, Sunggu, et al.
Published: (2025)

ScribeTokens: Fixed-Vocabulary Tokenization of Digital Ink
by: Wang, Douglass
Published: (2026)

MedRegion-CT: Region-Focused Multimodal LLM for Comprehensive 3D CT Report Generation
by: Kyung, Sunggu, et al.
Published: (2025)

Med-SORA: Symptom to Organ Reasoning in Abdomen CT Images
by: Na, You-Kyoung, et al.
Published: (2025)

Re-Aligning Language to Visual Objects with an Agentic Workflow
by: Chen, Yuming, et al.
Published: (2025)

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling
by: Liu, Junqi, et al.
Published: (2026)

A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation
by: Liang, Renjie, et al.
Published: (2025)

A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
by: Pesci, Alessandro, et al.
Published: (2026)

iMedImage Technical Report
by: Wei, Ran, et al.
Published: (2025)

MedLSAM: Localize and Segment Anything Model for 3D CT Images
by: Lei, Wenhui, et al.
Published: (2023)

MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting
by: Li, Yuheng, et al.
Published: (2025)

CT-Flow: Orchestrating CT Interpretation Workflow with Model Context Protocol Servers
by: Gu, Yannian, et al.
Published: (2026)

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding
by: Yue, Jingkun, et al.
Published: (2025)

MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
by: Yan, Zhonghao, et al.
Published: (2025)

MedGemma Technical Report
by: Sellergren, Andrew, et al.
Published: (2025)

MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
by: Shaaban, Mai A., et al.
Published: (2024)

Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance
by: Wang, Chenyu, et al.
Published: (2026)

CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
by: Di Piazza, Theo, et al.
Published: (2024)

MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images
by: Deria, Ankan, et al.
Published: (2026)

Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs
by: Ma, Wen, et al.
Published: (2026)

Large Language Model with Region-guided Referring and Grounding for CT Report Generation
by: Chen, Zhixuan, et al.
Published: (2024)

MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local Zoom
by: Li, Yifan, et al.
Published: (2025)

MedSeg-R: Medical Image Segmentation with Clinical Reasoning
by: Shao, Hao, et al.
Published: (2025)

VividMed: Vision Language Model with Versatile Visual Grounding for Medicine
by: Luo, Lingxiao, et al.
Published: (2024)

RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
by: Zhang, Xiaoman, et al.
Published: (2024)

NEWTON: Agentic Planning for Physically Grounded Video Generation
by: Feng, Yuxiang, et al.
Published: (2026)

Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings
by: Mahmood, Razi, et al.
Published: (2024)

SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations
by: Wang, Yunnan, et al.
Published: (2026)

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation
by: Lin, Yi, et al.
Published: (2026)

CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
by: Lin, Jingyang, et al.
Published: (2024)

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
by: Asiimwe, Arnold Caleb, et al.
Published: (2024)

IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning
by: Yin, Qian, et al.
Published: (2026)

CTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation
by: Sharma, Vanshali, et al.
Published: (2026)

GlyphBanana: Advancing Precise Text Rendering Through Agentic Workflows
by: Yan, Zexuan, et al.
Published: (2026)

MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks
by: Hirsch, Elad, et al.
Published: (2024)

MedCycle: Unpaired Medical Report Generation via Cycle-Consistency
by: Hirsch, Elad, et al.
Published: (2024)