Joseph N. Stember

According to our database, Joseph N. Stember authored at least 22 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach.

Subhadarsi Nayak, Hrithwik Shalu, Joseph N. Stember

CoRR, 2024

Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies.

Bala McRae-Posani, Andrei I. Holodny, Hrithwik Shalu, Joseph N. Stember

CoRR, 2024

2023

Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.

Joseph N. Stember, Robert J. Young, Hrithwik Shalu

J. Digit. Imaging, April, 2023

2022

Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes.

Joseph N. Stember, Hrithwik Shalu

J. Digit. Imaging, 2022

Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices.

Joseph N. Stember, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Andrei I. Holodny, Hrithwik Shalu

CoRR, 2022

Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection.

Subhanik Purkayastha, Hrithwik Shalu, David Gutman, Shakeel Modak, Ellen Basu, Brian Kushner, Kim Kramer, Sofia Haque, Joseph N. Stember

CoRR, 2022

Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder.

Joseph N. Stember, Danielle M. Stember, Luca Pasquini, Mehrnaz Jenabi, Andrei I. Holodny, Hrithwik Shalu

CoRR, 2022

Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution.

Joseph N. Stember, Robert Young, Hrithwik Shalu

CoRR, 2022

Reinforcement learning using Deep Q networks and Q learning accurately localizes brain tumors on MRI with very small training sets.

Joseph N. Stember, Hrithwik Shalu

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.

Joseph N. Stember, Gul Moonis, Cleber Silva

J. Digit. Imaging, 2021

Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification.

Joseph N. Stember, Hrithwik Shalu

CoRR, 2021

Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics.

Joseph N. Stember, Parvathy Jayan, Hrithwik Shalu

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.

Joseph N. Stember, Hrithwik Shalu

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.

Joseph N. Stember, Kalijah L. Terilli, E. Perez, Murad Megjhani, Cathleen A. Cooper, Sachin Jambawalikar, Soojin Park

J. Digit. Imaging, 2020

Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets.

Joseph N. Stember, Hrithwik Shalu

CoRR, 2020

Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images.

Joseph N. Stember, Hrithwik Shalu

CoRR, 2020

2019

Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.

Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar

J. Digit. Imaging, 2019

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.

Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, Lawrence H. Schwartz, Sachin Jambawalikar, Ulas Bagci

J. Digit. Imaging, 2019

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans.

Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar

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.

Joseph N. Stember

J. Digit. Imaging, 2018

2015

The Normal Mode Analysis Shape Detection Method for Automated Shape Determination of Lung Nodules.

Joseph N. Stember

J. Digit. Imaging, 2015

2013

The Self-Overlap Method for Assessment of Lung Nodule Morphology in Chest CT.

Joseph N. Stember, Jane P. Ko, David P. Naidich, Manmeen Kaur, Henry Rusinek

J. Digit. Imaging, 2013