| Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials |
Alison Rustagi |
University of California, San Francisco |
NLST |
Oct 18, 2022 |
NLST-972 |
| Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials |
Alison Rustagi |
University of California, San Francisco |
LSS |
Oct 27, 2022 |
LSS-3 |
| Time-specific measures of benefits due to screening |
Olli Saarela |
University of Toronto |
NLST |
Sep 10, 2015 |
NLST-158 |
| Time to Event Prediction Based on Risk Calculation from Biomarkers |
Anna Lokshin |
University of Pittsburgh |
PLCO |
Sep 4, 2018 |
PLCO-395 |
| Time to Event Prediction Based on Risk Calculation from Biomarkers |
Anna Lokshin |
University of Pittsburgh |
PLCO |
Jan 28, 2021 |
PLCO-717 |
| Time To First Cigarette and Lung cancer, as well as other smoking related diseases |
Fangyi Gu |
National Cancer Institute |
NLST |
Mar 14, 2014 |
NLST-65 |
| Time-Varying Measurement Error Models |
Raymond Carroll |
Texas A&M University |
IDATA |
Mar 20, 2017 |
IDATA-10 |
| Tobacco smoking is associated with increased tumor grade and stage and grade along with the mucinous carcinoma histopathologic type. |
Rodger Rothenberger |
University of Cincinnati |
PLCO |
Oct 3, 2019 |
PLCO-534 |
| To Determine the Effects of Slice Thickness and Reconstruction Filter on Measurements of Lung Attenuation Obtained from Low Dose Multidetector CT Scans |
David Gierada |
Washington University |
NLST |
Jul 30, 2004 |
2004-90022 |
| Towards Inherent Explainability in Breast Cancer Diagnosis -Unveiling Intrinsic Feature Relevance of Black Box Deep Learning Models using Tabular Data |
Mahreen Marghoob |
Stockholm University |
PLCO |
Feb 5, 2024 |
PLCO-1470 |
| Towards personalized cancer treatment with deep learning |
Francesco Ciompi |
Radboud University Medical Center |
PLCO |
Nov 24, 2017 |
PLCOI-323 |
| Towards Precision Prevention: Applying advanced data analytic and machine learning techniques to improve ovarian cancer screening. |
Jason Wright |
Columbia University |
PLCO |
Aug 23, 2019 |
PLCO-515 |
| Towards Precision Prevention: Testing a Machine Learning Algorithm in Pancreatic Cancer |
Shannon Lynch |
Fox Chase Cancer Center |
PLCO |
May 30, 2017 |
PLCO-277 |
| Towards reliable clinical decision support: Why popular stochastic deep learning approaches fail at epistemic uncertainty estimation |
Malte Blattmann |
Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig |
PLCO |
Jan 27, 2025 |
PLCO-1797 |
| Training a mathematical model to estimate lung weight and volume using anthropometric and sociodemographic features |
Lygia Costa |
Independent Researcher |
NLST |
Jan 27, 2021 |
NLST-753 |
| Training Lung Cancer Classifiers with Ultra-high Resolution Whole Slide Histopathology Images. |
Sean Yu |
aetherAI |
NLST |
Dec 13, 2019 |
NLST-620 |
| Transfer Learning for Disease Diagnosis and Therapy Development |
Herschel Rabitz |
Princeton University |
PLCO |
Aug 8, 2023 |
PLCO-1279 |
| Transfer Learning for Male Breast Cancer |
Lawrence Fulton |
Texas State University |
PLCO |
Mar 9, 2021 |
PLCOI-742 |
| Translating gene-calcium interactions to precision medicine for colorectal cancer |
QI DAI |
VANDERBILT UNIVERSITY MED CTR |
PLCO |
|
2014-0098 |
| Translating Gene-Calcium Interactions to Precision Medicine for Colorectal Cancer |
Qi Dai |
Vanderbilt University |
PLCO |
Apr 29, 2014 |
PLCO-80 |
