:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ivchenko, Anton
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.15561
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT
by: Zheng, Jie, et al.
Published: (2024)

Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation
by: Ding, Yuexing, et al.
Published: (2024)

HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis
by: Liu, Fengbei, et al.
Published: (2026)

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

COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB
by: Miron, Radu, et al.
Published: (2021)

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models
by: Zuo, Lianrui, et al.
Published: (2025)

Feature-level Site Leakage Reduction for Cross-Hospital Chest X-ray Transfer via Self-Supervised Learning
by: Bouaziz, Ayoub Louaye, et al.
Published: (2026)

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
by: Baharoon, Mohammed, et al.
Published: (2025)

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans
by: Ørting, Silas Nyboe, et al.
Published: (2025)

Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)

A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans
by: Nilay, Aadit, et al.
Published: (2026)

Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
by: Ayllón, Elena Mulero, et al.
Published: (2025)

A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans
by: Xu, Minfeng, et al.
Published: (2024)

Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Specialty-Oriented Generalist Medical AI for Chest CT Screening
by: Niu, Chuang, et al.
Published: (2023)

High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation
by: Ming, Ying, et al.
Published: (2025)

Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
by: Strick, Daniel J., et al.
Published: (2025)

Interactive Segmentation and Report Generation for CT Images
by: Gu, Yannian, et al.
Published: (2025)

Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
by: Zami, Abduz, et al.
Published: (2025)

Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases
by: Peoples, Jacob J., et al.
Published: (2025)

Assessing Identity Leakage in Talking Face Generation: Metrics and Evaluation Framework
by: Yaman, Dogucan, et al.
Published: (2025)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
by: Prakash, Eva, et al.
Published: (2024)

Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
by: Kollias, Dimitrios, et al.
Published: (2024)

Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
by: Mathai, Tejas Sudharshan, et al.
Published: (2024)

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
by: Kirchhoff, Yannick, et al.
Published: (2025)

3D Medical Imaging Segmentation on Non-Contrast CT
by: Gang, Canxuan, et al.
Published: (2025)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
by: Jha, Debesh, et al.
Published: (2024)

AutoPET III Challenge: PET/CT Semantic Segmentation
by: Safdari, Reza, et al.
Published: (2024)

Robustness Evaluation of a Foundation Segmentation Model Under Simulated Domain Shifts in Abdominal CT: Implications for Health Digital Twin Deployment
by: Basu, Sanghati
Published: (2026)

Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT
by: Guo, Zaiyang, et al.
Published: (2025)

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
by: Huang, Ziyan, et al.
Published: (2023)

CT Liver Segmentation via PVT-based Encoding and Refined Decoding
by: Jha, Debesh, et al.
Published: (2024)

Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
by: Park, Sanguk, et al.
Published: (2021)

Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation
by: Kwarciak, Kamil, et al.
Published: (2024)

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
by: Yu, Yongrui, et al.
Published: (2024)

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
by: Zhang, Zheyuan, et al.
Published: (2024)

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
by: Hou, Benjamin, et al.
Published: (2024)

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
by: Jaus, Alexander, et al.
Published: (2024)