Joseph N. Stember
Orcid: 0000-0003-3169-9590
According to our database1,
Joseph N. Stember
authored at least 20 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.
J. Digit. Imaging, April, 2023
2022
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes.
J. Digit. Imaging, 2022
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices.
CoRR, 2022
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection.
CoRR, 2022
CoRR, 2022
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution.
CoRR, 2022
Reinforcement learning using Deep Q networks and Q learning accurately localizes brain tumors on MRI with very small training sets.
BMC Medical Imaging, 2022
2021
Panoramic Dental Reconstruction for Faster Detection of Dental Pathology on Medical Non-dental CT Scans: a Proof of Concept from CT Neck Soft Tissue.
J. Digit. Imaging, 2021
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification.
CoRR, 2021
CoRR, 2021
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images.
CoRR, 2021
2020
Surface Point Cloud Ultrasound with Transcranial Doppler: Coregistration of Surface Point Cloud Ultrasound with Magnetic Resonance Angiography for Improved Reproducibility, Visualization, and Navigation in Transcranial Doppler Ultrasound.
J. Digit. Imaging, 2020
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets.
CoRR, 2020
Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images.
CoRR, 2020
2019
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.
J. Digit. Imaging, 2019
J. Digit. Imaging, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
2018
Three-Dimensional Surface Point Cloud Ultrasound for Better Understanding and Transmission of Ultrasound Scan Information.
J. Digit. Imaging, 2018
2015
The Normal Mode Analysis Shape Detection Method for Automated Shape Determination of Lung Nodules.
J. Digit. Imaging, 2015
2013
J. Digit. Imaging, 2013