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Joseph N. Stember
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2020 – today
- 2024
- [i14]Bala McRae-Posani
, Andrei I. Holodny, Hrithwik Shalu, Joseph N. Stember:
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies. CoRR abs/2404.08853 (2024) - [i13]Subhadarsi Nayak, Hrithwik Shalu, Joseph N. Stember:
Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach. CoRR abs/2404.10010 (2024) - 2023
- [j10]Joseph N. Stember
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution. J. Digit. Imaging 36(2): 536-546 (2023) - 2022
- [j9]Joseph N. Stember
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): 224 (2022) - [j8]Joseph N. Stember
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes. J. Digit. Imaging 35(5): 1143-1152 (2022) - [i12]Joseph N. Stember, Robert Young, Hrithwik Shalu:
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution. CoRR abs/2203.12853 (2022) - [i11]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 abs/2206.11224 (2022) - [i10]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 abs/2211.14499 (2022) - [i9]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 abs/2211.14500 (2022) - 2021
- [j7]Joseph N. Stember
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): 959-966 (2021) - [i8]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 abs/2102.02895 (2021) - [i7]Joseph N. Stember, Parvathy Jayan, Hrithwik Shalu
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics. CoRR abs/2102.08471 (2021) - [i6]Joseph N. Stember, Hrithwik Shalu
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes. CoRR abs/2106.09812 (2021) - [i5]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 abs/2112.12990 (2021) - 2020
- [j6]Joseph N. Stember
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): 930-936 (2020) - [i4]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 abs/2008.02708 (2020) - [i3]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 abs/2010.10763 (2020) - [i2]Joseph N. Stember, Hrithwik Shalu
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets. CoRR abs/2012.13321 (2020)
2010 – 2019
- 2019
- [j5]Joseph N. Stember
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 32(4): 597-604 (2019) - [j4]Joseph N. Stember
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. J. Digit. Imaging 32(5): 808-815 (2019) - [c1]Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember
Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. DART/MIL3ID@MICCAI 2019: 63-71 - [i1]Yucheng Liu
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans. CoRR abs/1908.10208 (2019) - 2018
- [j3]Joseph N. Stember
Three-Dimensional Surface Point Cloud Ultrasound for Better Understanding and Transmission of Ultrasound Scan Information. J. Digit. Imaging 31(6): 904-911 (2018) - 2015
- [j2]Joseph N. Stember
The Normal Mode Analysis Shape Detection Method for Automated Shape Determination of Lung Nodules. J. Digit. Imaging 28(2): 224-230 (2015) - 2013
- [j1]Joseph N. Stember
The Self-Overlap Method for Assessment of Lung Nodule Morphology in Chest CT. J. Digit. Imaging 26(2): 239-247 (2013)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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