Cover Image

Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jisoo, Harowicz, Michael R., Chen, Yuwen, Gu, Hanxue, Alderete, Isaac S., Li, Lin, Mazurowski, Maciej A., Hartwig, Matthew G.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ContourDiff: Unpaired Medical Image Translation with Structural Consistency
by: Chen, Yuwen, et al.
Published: (2024)

How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
by: Zhang, Yixin, et al.
Published: (2023)

Segment anything model 2: an application to 2D and 3D medical images
by: Dong, Haoyu, et al.
Published: (2024)

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
by: Gu, Hanxue, et al.
Published: (2025)

Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
by: Dong, Haoyu, et al.
Published: (2024)

How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
by: Gu, Hanxue, et al.
Published: (2024)

Rethinking Perceptual Metrics for Medical Image Translation
by: Konz, Nicholas, et al.
Published: (2024)

LegSegNet: A Public Deep Learning System for Lower Extremity CT Tissue Segmentation and Quantification
by: Chen, Yuwen, et al.
Published: (2026)

BreastSegNet: Multi-label Segmentation of Breast MRI
by: Li, Qihang, et al.
Published: (2025)

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery
by: Gu, Hanxue, et al.
Published: (2025)

SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images
by: Yildiz, Zafer, et al.
Published: (2024)

GuidedMorph: Two-Stage Deformable Registration for Breast MRI
by: Chen, Yaqian, et al.
Published: (2025)

SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI
by: Colglazier, Roy, et al.
Published: (2025)

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging
by: Dong, Haoyu, et al.
Published: (2025)

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
by: Konz, Nicholas, et al.
Published: (2024)

Fully Automated Deep Learning Based Glenoid Bone Loss Measurement and Severity Stratification on 3D CT in Shoulder Instability
by: Liu, Zhonghao, et al.
Published: (2025)

Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis
by: Chen, Yaqian, et al.
Published: (2025)

Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
by: Chen, Yuwen, et al.
Published: (2025)

Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation
by: Zhang, Yixin, et al.
Published: (2023)

Breast density in MRI: an AI-based quantification and relationship to assessment in mammography
by: Chen, Yaqian, et al.
Published: (2025)

SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
by: Gu, Hanxue, et al.
Published: (2024)

Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects
by: Zhang, Yixin, et al.
Published: (2024)

The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
by: Konz, Nicholas, et al.
Published: (2024)

Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
by: Konz, Nicholas, et al.
Published: (2024)

DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
by: Khiati, Rezkellah Noureddine, et al.
Published: (2026)

Rethinking Pulmonary Embolism Segmentation: A Study of Current Approaches and Challenges with an Open Weight Model
by: Zhang, Yixin, et al.
Published: (2025)

Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Predicting Lung Disease Severity via Image-Based AQI Analysis using Deep Learning Techniques
by: Mahajan, Anvita, et al.
Published: (2024)

Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction
by: Xiao, Zhennan, et al.
Published: (2025)

How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?
by: Zhang, Yixin, et al.
Published: (2024)

Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans
by: Khiati, Rezkellah Noureddine, et al.
Published: (2025)

FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
by: Rezvani, Sadjad, et al.
Published: (2024)

Automatic Temporal Segmentation for Post-Stroke Rehabilitation: A Keypoint Detection and Temporal Segmentation Approach for Small Datasets
by: Lee, Jisoo, et al.
Published: (2025)

LungCRCT: Causal Representation based Lung CT Processing for Lung Cancer Treatment
by: Kim, Daeyoung
Published: (2026)

Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
by: V, Asha, et al.
Published: (2024)

Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
by: Konz, Nicholas, et al.
Published: (2023)

Pediatric Lung Waitlist Score (PLWS): A Score to Predict Waitlist Time for Pediatric Lung Transplant Candidates
by: Jose Ramirez, et al.
Published: (2026)

Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor
by: Guo, Jiaqi, et al.
Published: (2025)

Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation
by: Zhang, Jiasen, et al.
Published: (2024)

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
by: Yu, Jianxun, et al.
Published: (2025)