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)

The Normal Mode Analysis Shape Detection Method for Automated Shape Determination of Lung Nodules. - Joseph N. Stember (J. Digit. Imaging, 2015)

Three-Dimensional Surface Point Cloud Ultrasound for Better Understanding and Transmission of Ultrasound Scan Information. - Joseph N. Stember (J. Digit. Imaging, 2018)

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. - Yucheng Liu 003; Naji Khosravan; Yulin Liu; Joseph N. Stember; Jonathan Shoag; Ulas Bagci; Sachin Jambawalikar (DART/MIL3ID@MICCAI, 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)

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)

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)

Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets. - Joseph N. Stember; Hrithwik Shalu (CoRR, 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)

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)

Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics. - Joseph N. Stember; Parvathy Jayan; Hrithwik Shalu (CoRR, 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)

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)

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)

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)

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)

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 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 Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes. - Joseph N. Stember; Hrithwik Shalu (J. Digit. Imaging, 2022)

Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution. - Joseph N. Stember; Robert J. Young; Hrithwik Shalu (J. Digit. Imaging, 2023)

Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies. - Bala McRae-Posani; Andrei I. Holodny; Hrithwik Shalu; Joseph N. Stember (CoRR, 2024)

Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach. - Subhadarsi Nayak; Hrithwik Shalu; Joseph N. Stember (CoRR, 2024)