iTRIALSPACE: Programmable Virtual Lesion Trials for Controlled Evaluation of Lung CT Models
Fuente:
arXiv
Saved in:
| Main Authors: | Tushar, Fakrul Islam, Momy, Umme Hafsa, Lo, Joseph Y., Rubin, Geoffrey D. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| 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)
Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
by: Tushar, Fakrul Islam
Published: (2024)
by: Tushar, Fakrul Islam
Published: (2024)
NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
by: Tushar, Fakrul Islam, et al.
Published: (2025)
by: Tushar, Fakrul Islam, et al.
Published: (2025)
What limits performance of weakly supervised deep learning for chest CT classification?
by: Tushar, Fakrul Islam, et al.
Published: (2024)
by: Tushar, Fakrul Islam, et al.
Published: (2024)
JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift
by: Dahal, Lavsen, et al.
Published: (2026)
by: Dahal, Lavsen, et al.
Published: (2026)
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
by: Tushar, Fakrul Islam
Published: (2024)
by: Tushar, Fakrul Islam
Published: (2024)
Organ-Aware Attention Improves CT Triage and Classification
by: Dahal, Lavsen, et al.
Published: (2026)
by: Dahal, Lavsen, 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)
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)
CT-IDP: Segmentation-Derived Quantitative Phenotypes for Interpretable Abdominal CT Disease Classification
by: Dahal, Lavsen, et al.
Published: (2026)
by: Dahal, Lavsen, et al.
Published: (2026)
Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems
by: Garcia-Alcoser, Michael E., et al.
Published: (2025)
by: Garcia-Alcoser, Michael E., et al.
Published: (2025)
Longitudinal Assessment of Lung Lesion Burden in CT
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms
by: Liu, Xuan, et al.
Published: (2025)
by: Liu, Xuan, et al.
Published: (2025)
SegFormer Fine-Tuning with Dropout: Advancing Hair Artifact Removal in Skin Lesion Analysis
by: Saad, Asif Mohammed, et al.
Published: (2025)
by: Saad, Asif Mohammed, et al.
Published: (2025)
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)
Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction
by: Hoq, Md. Enamul, et al.
Published: (2025)
by: Hoq, Md. Enamul, et al.
Published: (2025)
VideoScoop: A Non-Traditional Domain-Independent Framework For Video Analysis
by: Billah, Hafsa
Published: (2025)
by: Billah, Hafsa
Published: (2025)
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
by: Kataria, Tushar, et al.
Published: (2024)
by: Kataria, Tushar, et al.
Published: (2024)
IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
by: Kataria, Tushar, et al.
Published: (2025)
by: Kataria, Tushar, et al.
Published: (2025)
Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection
by: Tushar, Fakrul Islam, et al.
Published: (2024)
by: Tushar, Fakrul Islam, et al.
Published: (2024)
LungCRCT: Causal Representation based Lung CT Processing for Lung Cancer Treatment
by: Kim, Daeyoung
Published: (2026)
by: Kim, Daeyoung
Published: (2026)
Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality
by: Kataria, Tushar, et al.
Published: (2025)
by: Kataria, Tushar, et al.
Published: (2025)
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes
by: Kataria, Tushar, et al.
Published: (2025)
by: Kataria, Tushar, et al.
Published: (2025)
Weakly-Supervised Detection of Bone Lesions in CT
by: Sheng, Tao, et al.
Published: (2024)
by: Sheng, Tao, et al.
Published: (2024)
Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
by: Rokuss, Maximilian, et al.
Published: (2025)
by: Rokuss, Maximilian, et al.
Published: (2025)
Promptable Longitudinal Lesion Segmentation in Whole-Body CT
by: Kirchhoff, Yannick, et al.
Published: (2025)
by: Kirchhoff, Yannick, et al.
Published: (2025)
Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
by: Yu, Jianxun, et al.
Published: (2025)
by: Yu, Jianxun, et al.
Published: (2025)
Evaluation of neural network algorithms for atmospheric turbulence mitigation
by: Jain, Tushar, et al.
Published: (2024)
by: Jain, Tushar, et al.
Published: (2024)
GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT
by: Jiang, Shuo, et al.
Published: (2026)
by: Jiang, Shuo, et al.
Published: (2026)
TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT
by: Elbatel, Marawan, et al.
Published: (2026)
by: Elbatel, Marawan, et al.
Published: (2026)
Virtual Trial Room with Computer Vision and Machine Learning
by: Joshi, Tulashi Prasad, et al.
Published: (2024)
by: Joshi, Tulashi Prasad, et al.
Published: (2024)
3D Universal Lesion Detection and Tagging in CT with Self-Training
by: Frazier, Jared, et al.
Published: (2025)
by: Frazier, Jared, et al.
Published: (2025)
CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography
by: Zhu, Qingqing, et al.
Published: (2026)
by: Zhu, Qingqing, et al.
Published: (2026)
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
by: Erickson, Peter D., et al.
Published: (2025)
by: Erickson, Peter D., et al.
Published: (2025)
Lung-DDPM+: Efficient Thoracic CT Image Synthesis using Diffusion Probabilistic Model
by: Jiang, Yifan, et al.
Published: (2025)
by: Jiang, Yifan, et al.
Published: (2025)
LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical Guidance
by: Oliveras, Anna, et al.
Published: (2025)
by: Oliveras, Anna, et al.
Published: (2025)
Virtual Intraoperative CT (viCT): Sequential Anatomic Updates for Modeling Tissue Resection Throughout Endoscopic Sinus Surgery
by: Gunderson, Nicole M., et al.
Published: (2026)
by: Gunderson, Nicole M., et al.
Published: (2026)
AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation
by: Bhandari, Yubraj, et al.
Published: (2026)
by: Bhandari, Yubraj, et al.
Published: (2026)
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images
by: Ukey, Janmesh, et al.
Published: (2024)
by: Ukey, Janmesh, et al.
Published: (2024)
Benchmarking Foundation Models for Renal Lesion Stratification in CT
by: Häntze, Hartmut, et al.
Published: (2026)
by: Häntze, Hartmut, et al.
Published: (2026)
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) -
Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
by: Tushar, Fakrul Islam
Published: (2024) -
NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
by: Tushar, Fakrul Islam, et al.
Published: (2025) -
What limits performance of weakly supervised deep learning for chest CT classification?
by: Tushar, Fakrul Islam, et al.
Published: (2024) -
JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift
by: Dahal, Lavsen, et al.
Published: (2026)