Harrison C. Gottlich

According to our database, Harrison C. Gottlich authored at least 4 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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.

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

J. Digit. Imaging, August, 2023

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

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

CoRR, 2023

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

Timothy L. Kline, Sumana Ramanathan, Harrison C. Gottlich, Panagiotis Korfiatis, Adriana V. Gregory

CoRR, 2023

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

Harrison C. Gottlich, Panagiotis Korfiatis, Adriana V. Gregory, Timothy L. Kline

CoRR, 2023