Joseph N. Stember

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 24

Top Topics

Convolutional Neural Networks

Prostate Segmentation

Magnetic Resonance

Reinforcement Learning

Top Venues

J. Digit. Imaging

BMC Medical Imaging

DART/MIL3ID@MICCAI

Publications

Subhadarsi Nayak, Hrithwik Shalu, Joseph N. Stember
Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach. CoRR (2024)
Bala McRae-Posani, Andrei I. Holodny, Hrithwik Shalu, Joseph N. Stember
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies. CoRR (2024)
Joseph N. Stember, Robert J. Young, Hrithwik Shalu
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution. J. Digit. Imaging 36 (2) (2023)
Joseph N. Stember, Hrithwik Shalu
Reinforcement learning using Deep Q networks and Q learning accurately localizes brain tumors on MRI with very small training sets. BMC Medical Imaging 22 (1) (2022)
Joseph N. Stember, Danielle M. Stember, Luca Pasquini, Mehrnaz Jenabi, Andrei I. Holodny, Hrithwik Shalu
Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder. CoRR (2022)
Subhanik Purkayastha, Hrithwik Shalu, David Gutman, Shakeel Modak, Ellen Basu, Brian Kushner, Kim Kramer, Sofia Haque, Joseph N. Stember
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection. CoRR (2022)
Joseph N. Stember, Hrithwik Shalu
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes. J. Digit. Imaging 35 (5) (2022)
Joseph N. Stember, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Andrei I. Holodny, Hrithwik Shalu
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices. CoRR (2022)
Joseph N. Stember, Robert Young, Hrithwik Shalu
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution. CoRR (2022)
Joseph N. Stember, Parvathy Jayan, Hrithwik Shalu
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics. CoRR (2021)
Joseph N. Stember, Hrithwik Shalu
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)
Joseph N. Stember, Hrithwik Shalu
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification. CoRR (2021)
Joseph N. Stember, Hrithwik Shalu
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes. CoRR (2021)
Joseph N. Stember, Gul Moonis, Cleber Silva
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 34 (4) (2021)
Joseph N. Stember, Hrithwik Shalu
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets. CoRR (2020)
Joseph N. Stember, Hrithwik Shalu
Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets. CoRR (2020)
Joseph N. Stember, K. L. Terilli, E. Perez, M. Megjhani, C. A. Cooper, Sachin Jambawalikar, S. Park
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 33 (4) (2020)
Joseph N. Stember, Hrithwik Shalu
Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images. CoRR (2020)
Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans. CoRR (2019)
Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, L. H. Schwartz, Sachin Jambawalikar, Ulas Bagci
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 32 (4) (2019)
Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar
Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. DART/MIL3ID@MICCAI (2019)
Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. J. Digit. Imaging 32 (5) (2019)
Joseph N. Stember
Three-Dimensional Surface Point Cloud Ultrasound for Better Understanding and Transmission of Ultrasound Scan Information. J. Digit. Imaging 31 (6) (2018)
Joseph N. Stember
The Normal Mode Analysis Shape Detection Method for Automated Shape Determination of Lung Nodules. J. Digit. Imaging 28 (2) (2015)
Joseph N. Stember, Jane P. Ko, David P. Naidich, Manmeen Kaur, Henry Rusinek
The Self-Overlap Method for Assessment of Lung Nodule Morphology in Chest CT. J. Digit. Imaging 26 (2) (2013)