Joseph N. Stember

Researcher, Memorial Sloan Kettering Cancer Centre

Joined

May 2023

Names

Joseph N. Stember (Preferred)

Joseph Nathaniel Stember

Emails

****@gmail.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

Researcher

Memorial Sloan Kettering Cancer Centre (mskcc.org)

2019 – Present

Postdoc

Weill Cornell Medicine, Cornell University (med.cornell.edu)

2007 – 2009

PhD student

Cornell University (cornell.edu)

2003 – 2007

Advisors, Relations & Conflicts

No relations added

Expertise

Radiology Machine Learning

2010 – Present

Molecular dynamics simulation

2003 – 2009

Publications

Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution
Joseph N. Stember, Robert J. Young, Hrithwik Shalu
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- J. Digit. Imaging 2023
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- BMC Medical Imaging 2022
- Readers: Everyone
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes
Joseph N. Stember, Hrithwik Shalu
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- J. Digit. Imaging 2022
- Readers: Everyone
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution
Joseph N. Stember, Robert Young, Hrithwik Shalu
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
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
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes
Joseph N. Stember, Hrithwik Shalu
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
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
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone

View all 23 publications

Co-Authors

View all 44 co-authors