Lawrence O Hall (L Hall, Lawrence Hall)

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Convolutional Neural Network

Magnetic Resonance Imaging

Top Venues

Journal of medical imaging (Bellingham, Wash.)

IEEE access : practical innovations, open solutions

Tomography (Ann Arbor, Mich.)

Radiology. Artificial intelligence

This page only lists publications with an associated author ORCID identifier.

Publications

Kaoutar Ben Ahmed, Lawrence O Hall, Dmitry B Goldgof, Robert Gatenby
Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-Grade Glioma Patients from Multimodal MRI. Diagnostics (Basel, Switzerland) 12 (2) (2022)
Silvia Moreno, Mario Bonfante, Eduardo Zurek, Dmitry Cherezov, Dmitry Goldgof, Lawrence O Hall, Matthew B Schabath
A Radiogenomics Ensemble to Predict EGFR and KRAS Mutations in NSCLC. Tomography (Ann Arbor, Mich.) 7 (2) (2021)
Kaoutar Ben Ahmed, Gregory M Goldgof, Rahul Paul, Dmitry B Goldgof, Lawrence O Hall
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE access : practical innovations, open solutions 9 (2021)
Wei Mu, Ying Liang, Lawrence O Hall, Yan Tan, Balagurunathan Yoga, Robert Wenham, Ning Wu, Jie Tian, Robert J Gillies
18F-FDG PET/CT Habitat Radiomics Predicts Outcome of Patients with Cervical Cancer Treated with Chemoradiotherapy. Radiology. Artificial intelligence 2 (6) (2020)
Rahul Paul, Matthew B Schabath, Robert James Gillies, Lawrence O Hall, Dmitry B Goldgof
Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data. Journal of medical imaging (Bellingham, Wash.) 7 (2) (2020)
Dmitry Cherezov, Dmitry B Goldgof, Lawrence O Hall, Robert James Gillies, Matthew B Schabath, Henning Muller, Adrien Depeursinge
Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness. Scientific reports 9 (1) (2019)
Rahul Paul, Samuel H Hawkins, Matthew B Schabath, Robert J Gillies, Lawrence O Hall, Dmitry B Goldgof
Predicting malignant nodules by fusing deep features with classical radiomics features. Journal of medical imaging (Bellingham, Wash.) 5 (1) (2018)
M Zhou, Jacob G Scott, B Chaudhury, Lawrence O Hall, Dmitry B Goldgof, Kristen W Yeom, Michael Iv, Yangming Ou, Jayashree Kalpathy-Cramer, Sandy Napel, Robert James Gillies, Olivier Gevaert, Robert A Gatenby
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches. AJNR. American journal of neuroradiology 39 (2) (2017)