Lawrence H. Schwartz

Orcid: 0000-0002-3923-1477

According to our database1, Lawrence H. Schwartz authored at least 14 papers between 2004 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Predicting neoadjuvant chemotherapy response in osteosarcoma using T2-based MRI delta-radiomics: a retrospective study.
BMC Medical Imaging, December, 2026

2023
Deep learning-based covert brain infarct detection from multiple MRI sequences.
Neurocomputing, 2023

2022
Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

2019
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.
J. Digit. Imaging, 2019

Implementation Strategy of a CNN Model Affects the Performance of CT Assessment of EGFR Mutation Status in Lung Cancer Patients.
IEEE Access, 2019

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

2014
Test-Retest Reproducibility Analysis of Lung CT Image Features.
J. Digit. Imaging, 2014

2008
CT-guided automated detection of lung tumors on PET images.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

2006
Automatic Detection and Segmentation of Ground Glass Opacity Nodules.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

An Automatic Method for Ground Glass Opacity Nodule Detection and Segmentation from CT Studies.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Automated segmentation of mesothelioma volume on CT scan.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
Measuring tumor burden: comparison of automatic and manual techniques.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Application of the LDM algorithm to identify small lung nodules on low-dose MSCT scans.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Automatic liver contour segmentation using GVF snake.
Proceedings of the Medical Imaging 2004: Image Processing, 2004


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