Timothy L. Kline

19 papers Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Systematic Review on the Use of Registration-Based Change Tracking Methods in Longitudinal Radiological Images. J. Imaging Inform. Medicine Jeeho E. Im, Muhammed Khalifa, Adriana V. Gregory, Bradley J. Erickson, Timothy L. Kline
2024	J	`jnl`	A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images. CoRR Peilong Wang, Timothy L. Kline, Andy D. Missert, Cole J. Cook, Matthew R. Callstrom, Alex Chan, Robert P. Hartman, Zachary S. Kelm, Panagiotis Korfiatis
2024	J	`jnl`	A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images. J. Imaging Inform. Medicine Peilong Wang, Timothy L. Kline, Andy D. Missert, Cole J. Cook, Matthew R. Callstrom, Alex Chan, Robert P. Hartman, Zachary S. Kelm, Panagiotis Korfiatis
2023	J	`jnl`	AI in the Loop - Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines. CoRR Harrison C. Gottlich, Panagiotis Korfiatis, Adriana V. Gregory, Timothy L. Kline
2023	J	`jnl`	Developing a Machine Learning-Based Clinical Decision Support Tool for Uterine Tumor Imaging. CoRR Darryl E. Wright, Adriana V. Gregory, Deema A. Anaam, Sepideh Yadollahi, Sumana Ramanathan, Kafayat A. Oyemade, Reem Alsibai, Heather Holmes, Harrison C. Gottlich, Cherie-Akilah G. Browne, Sarah L. Cohen Rassier, Isabel Green, Elizabeth A. Stewart, Hiroaki Takahashi, Bohyun Kim, Shannon Laughlin-Tommaso, Timothy L. Kline
2023	J	`jnl`	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 Harrison C. Gottlich, Adriana V. Gregory, Vidit Sharma, Abhinav Khanna, Amr U. Moustafa, Christine M. Lohse, Theodora A. Potretzke, Panagiotis Korfiatis, Aaron M. Potretzke, Aleksandar Denic, Andrew D. Rule, Naoki Takahashi, Bradley J. Erickson, Bradley C. Leibovich, Timothy L. Kline
2023	J	`jnl`	Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization. CoRR Timothy L. Kline, Sumana Ramanathan, Harrison C. Gottlich, Panagiotis Korfiatis, Adriana V. Gregory
2022	J	`jnl`	Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. CoRR Timothy L. Kline, Felipe Kitamura, Ian Pan, Amine M. Korchi, Neil A. Tenenholtz, Linda Moy, Judy Wawira Gichoya, Igor Santos, Steven Blumer, Misha Ysabel Hwang, Kim-Ann Git, Abishek Shroff, Elad Walach, George Shih, Steve Langer
2022	J	`jnl`	Quantifying and Visualizing Vascular Branching Geometry with Micro-CT: Normalization of Intra- and Inter-Specimen Variations. CoRR Timothy L. Kline
2022	J	`jnl`	Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning. CoRR Darryl E. Wright, Cole J. Cook, Jason Klug, Panagiotis Korfiatis, Timothy L. Kline
2022	J	`jnl`	Shape Aware Automatic Region-of-Interest Subdivisions. CoRR Timothy L. Kline
2021	—	`conf`	Improving Domain Generalization in Segmentation Models with Neural Style Transfer. ISBI Timothy L. Kline
2021	J	`jnl`	Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning. J. Digit. Imaging Adriana V. Gregory, Deema A. Anaam, Andrew J. Vercnocke, Marie E. Edwards, Vicente E. Torres, Peter C. Harris, Bradley J. Erickson, Timothy L. Kline
2019	J	`jnl`	RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning. J. Digit. Imaging Kenneth A. Philbrick, Alexander D. Weston, Zeynettin Akkus, Timothy L. Kline, Panagiotis Korfiatis, Tomas Sakinis, Petro M. Kostandy, Arunnit Boonrod, Atefeh Zeinoddini, Naoki Takahashi, Bradley J. Erickson
2019	—	`conf`	Segmenting New Image Acquisitions Without Labels. ISBI Timothy L. Kline
2018	—	`conf`	Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients. Computer-Aided Diagnosis Panagiotis Korfiatis, Timothy L. Kline, Bradley J. Erickson
2017	J	`jnl`	Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys. J. Digit. Imaging Timothy L. Kline, Panagiotis Korfiatis, Marie E. Edwards, Jaime D. Blais, Frank S. Czerwiec, Peter C. Harris, Bernard F. King, Vicente E. Torres, Bradley J. Erickson
2017	J	`jnl`	Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status. J. Digit. Imaging Panagiotis Korfiatis, Timothy L. Kline, Daniel H. Lachance, Ian F. Parney, Jan C. Buckner, Bradley J. Erickson
2016	J	`jnl`	Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning. CoRR Zeynettin Akkus, Issa Ali, Jirí Sedlár, Timothy L. Kline, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson