NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
Fuente:
arXiv
Saved in:
| Main Authors: | Tushar, Fakrul Islam, Samei, Ehsan, Rudin, Cynthia, Lo, Joseph Y. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tri-Reader: An Open-Access, Multi-Stage AI Pipeline for First-Pass Lung Nodule Annotation in Screening CT
by: Tushar, Fakrul Islam, et al.
Published: (2026)
by: Tushar, Fakrul Islam, et al.
Published: (2026)
Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets
by: Tushar, Fakrul Islam, et al.
Published: (2024)
by: Tushar, Fakrul Islam, et al.
Published: (2024)
MAISI: Medical AI for Synthetic Imaging
by: Guo, Pengfei, et al.
Published: (2024)
by: Guo, Pengfei, et al.
Published: (2024)
Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
by: Tushar, Fakrul Islam
Published: (2024)
by: Tushar, Fakrul Islam
Published: (2024)
iTRIALSPACE: Programmable Virtual Lesion Trials for Controlled Evaluation of Lung CT Models
by: Tushar, Fakrul Islam, et al.
Published: (2026)
by: Tushar, Fakrul Islam, et al.
Published: (2026)
SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training
by: Tushar, Fakrul Islam, et al.
Published: (2025)
by: Tushar, Fakrul Islam, et al.
Published: (2025)
Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation
by: Mouheb, Kaouther, et al.
Published: (2023)
by: Mouheb, Kaouther, et al.
Published: (2023)
The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Data
by: Tushar, Fakrul Islam, et al.
Published: (2023)
by: Tushar, Fakrul Islam, et al.
Published: (2023)
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
by: Khosravi, Bardia, et al.
Published: (2023)
by: Khosravi, Bardia, et al.
Published: (2023)
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
by: McNulty, John R., et al.
Published: (2024)
by: McNulty, John R., et al.
Published: (2024)
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
by: Dahal, Lavsen, et al.
Published: (2024)
by: Dahal, Lavsen, et al.
Published: (2024)
A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding
by: Liu, Christina, et al.
Published: (2025)
by: Liu, Christina, et al.
Published: (2025)
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
by: Donnelly, Jon, et al.
Published: (2025)
by: Donnelly, Jon, et al.
Published: (2025)
Using Synthetic Images to Augment Small Medical Image Datasets
by: Vu, Minh H., et al.
Published: (2025)
by: Vu, Minh H., et al.
Published: (2025)
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images
by: Liu, Che, et al.
Published: (2023)
by: Liu, Che, et al.
Published: (2023)
SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
by: Das, Badhan Kumar, et al.
Published: (2025)
by: Das, Badhan Kumar, et al.
Published: (2025)
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation
by: Khadra, Kathrin, et al.
Published: (2024)
by: Khadra, Kathrin, et al.
Published: (2024)
The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
by: Pham, Thai-Hoang, et al.
Published: (2025)
by: Pham, Thai-Hoang, et al.
Published: (2025)
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI
by: Godau, Patrick, et al.
Published: (2024)
by: Godau, Patrick, et al.
Published: (2024)
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)
by: Wen, Binbin, et al.
Published: (2025)
Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images
by: Noreen, Muniba, et al.
Published: (2025)
by: Noreen, Muniba, et al.
Published: (2025)
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation
by: Liu, Y., et al.
Published: (2024)
by: Liu, Y., et al.
Published: (2024)
Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification
by: Chen, Yangmei, et al.
Published: (2026)
by: Chen, Yangmei, et al.
Published: (2026)
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
by: Otake, Hina, et al.
Published: (2024)
by: Otake, Hina, et al.
Published: (2024)
Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection
by: Ramezani, Hooman, et al.
Published: (2024)
by: Ramezani, Hooman, et al.
Published: (2024)
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
by: Zhao, Can, et al.
Published: (2025)
by: Zhao, Can, et al.
Published: (2025)
Machine Unlearning for Medical Imaging
by: Nasirigerdeh, Reza, et al.
Published: (2024)
by: Nasirigerdeh, Reza, et al.
Published: (2024)
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
by: Jiang, Shuai, et al.
Published: (2024)
by: Jiang, Shuai, et al.
Published: (2024)
PULSAR: Graph based Positive Unlabeled Learning with Multi Stream Adaptive Convolutions for Parkinson's Disease Recognition
by: Alam, Md. Zarif Ul, et al.
Published: (2023)
by: Alam, Md. Zarif Ul, et al.
Published: (2023)
Light Cones For Vision: Simple Causal Priors For Visual Hierarchy
by: Kartik, Manglam, et al.
Published: (2026)
by: Kartik, Manglam, et al.
Published: (2026)
Scalable Evaluation of the Realism of Synthetic Environmental Augmentations in Images
by: Ruck, Damian J., et al.
Published: (2026)
by: Ruck, Damian J., et al.
Published: (2026)
Position Paper: Building Trust in Synthetic Data for Clinical AI
by: Babu, Krishan Agyakari Raja, et al.
Published: (2025)
by: Babu, Krishan Agyakari Raja, et al.
Published: (2025)
Navigating Uncertainty in Medical Image Segmentation
by: Zepf, Kilian, et al.
Published: (2024)
by: Zepf, Kilian, et al.
Published: (2024)
Post-hoc Selective Classification for Reliable Synthetic Image Detection
by: Zheng, Kaixiang, et al.
Published: (2026)
by: Zheng, Kaixiang, et al.
Published: (2026)
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
by: Casarin, Sofia, et al.
Published: (2024)
by: Casarin, Sofia, et al.
Published: (2024)
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
by: Agarwal, Tushar, et al.
Published: (2022)
by: Agarwal, Tushar, et al.
Published: (2022)
Pitfalls of Conformal Predictions for Medical Image Classification
by: Mehrtens, Hendrik, et al.
Published: (2025)
by: Mehrtens, Hendrik, et al.
Published: (2025)
Medical Image Spatial Grounding with Semantic Sampling
by: Yu, Andrew Seohwan, et al.
Published: (2026)
by: Yu, Andrew Seohwan, et al.
Published: (2026)
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition
by: Qraitem, Maan, et al.
Published: (2023)
by: Qraitem, Maan, et al.
Published: (2023)
Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation
by: Hasan, Masum, et al.
Published: (2024)
by: Hasan, Masum, et al.
Published: (2024)
Similar Items
-
Tri-Reader: An Open-Access, Multi-Stage AI Pipeline for First-Pass Lung Nodule Annotation in Screening CT
by: Tushar, Fakrul Islam, et al.
Published: (2026) -
Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets
by: Tushar, Fakrul Islam, et al.
Published: (2024) -
MAISI: Medical AI for Synthetic Imaging
by: Guo, Pengfei, et al.
Published: (2024) -
Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
by: Tushar, Fakrul Islam
Published: (2024) -
iTRIALSPACE: Programmable Virtual Lesion Trials for Controlled Evaluation of Lung CT Models
by: Tushar, Fakrul Islam, et al.
Published: (2026)