Timothy Kline

Orcid: 0000-0002-7917-9853

According to our database1, Timothy Kline authored at least 23 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images.
CoRR, 2024

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.
CoRR, 2024

2023
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
J. Digit. Imaging, August, 2023

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
J. Imaging Inform. Medicine, 2023

Developing a Machine Learning-Based Clinical Decision Support Tool for Uterine Tumor Imaging.
CoRR, 2023

Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization.
CoRR, 2023

AI in the Loop - Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines.
CoRR, 2023

A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Quantifying and Visualizing Vascular Branching Geometry with Micro-CT: Normalization of Intra- and Inter-Specimen Variations.
CoRR, 2022

Shape Aware Automatic Region-of-Interest Subdivisions.
CoRR, 2022

Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning.
CoRR, 2022

Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification.
CoRR, 2022

2021
Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning.
J. Digit. Imaging, 2021

Improving Domain Generalization in Segmentation Models with Neural Style Transfer.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
J. Digit. Imaging, 2019

Segmenting New Image Acquisitions Without Labels.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.
J. Digit. Imaging, 2017

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
J. Digit. Imaging, 2017

Toolkits and Libraries for Deep Learning.
J. Digit. Imaging, 2017

2016
Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning.
CoRR, 2016

2011
Algorithm-Enabled Low-Dose Micro-CT Imaging.
IEEE Trans. Medical Imaging, 2011

2009
Paths of Least Flow-Resistance: Characterization for the Optimization of Synthetic Tissue Scaffold Design.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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