Kyle Hasenstab

1.3k total citations
37 papers, 879 citations indexed

About

Kyle Hasenstab is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kyle Hasenstab has authored 37 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Ophthalmology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kyle Hasenstab's work include Retinal Diseases and Treatments (8 papers), Glaucoma and retinal disorders (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (7 papers). Kyle Hasenstab is often cited by papers focused on Retinal Diseases and Treatments (8 papers), Glaucoma and retinal disorders (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (7 papers). Kyle Hasenstab collaborates with scholars based in United States, Japan and South Korea. Kyle Hasenstab's co-authors include Robert N. Weinreb, Linda M. Zangwill, Patricia Isabel C. Manalastas, Guilherme Moura Cunha, Sasan Moghimi, Elham Ghahari, Rafaella C. Penteado, Huiyuan Hou, Christopher Bowd and Adeleh Yarmohammadi and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Kyle Hasenstab

34 papers receiving 864 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyle Hasenstab United States 13 488 431 98 72 67 37 879
Ali Mahmoud United States 19 538 1.1× 179 0.4× 251 2.6× 144 2.0× 108 1.6× 102 1.2k
Joshua Ong United States 20 527 1.1× 392 0.9× 56 0.6× 88 1.2× 79 1.2× 167 1.3k
G Lemaître France 13 440 0.9× 207 0.5× 65 0.7× 181 2.5× 123 1.8× 49 955
Ethan Waisberg United States 17 305 0.6× 170 0.4× 50 0.5× 74 1.0× 49 0.7× 123 862
Chunlan Yang China 12 253 0.5× 41 0.1× 181 1.8× 28 0.4× 122 1.8× 37 528
Ji Woong Lee South Korea 18 545 1.1× 747 1.7× 16 0.2× 17 0.2× 40 0.6× 95 1.0k
Joon Yul Choi South Korea 19 736 1.5× 318 0.7× 78 0.8× 157 2.2× 107 1.6× 68 1.2k
Michael Kawczynski United States 5 232 0.5× 86 0.2× 38 0.4× 142 2.0× 58 0.9× 10 486
Jong Chul Han South Korea 18 672 1.4× 712 1.7× 29 0.3× 19 0.3× 145 2.2× 95 968

Countries citing papers authored by Kyle Hasenstab

Since Specialization
Citations

This map shows the geographic impact of Kyle Hasenstab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kyle Hasenstab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Hasenstab more than expected).

Fields of papers citing papers by Kyle Hasenstab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle Hasenstab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kyle Hasenstab. The network helps show where Kyle Hasenstab may publish in the future.

Co-authorship network of co-authors of Kyle Hasenstab

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Hasenstab. A scholar is included among the top collaborators of Kyle Hasenstab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kyle Hasenstab. Kyle Hasenstab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nasir, Md, Yixi Xu, Kyle Hasenstab, et al.. (2025). Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study. PLoS ONE. 20(8). e0328867–e0328867.
2.
Kaestner, Erik, Ezequiel Gleichgerrcht, Kyle Hasenstab, et al.. (2024). Adding the third dimension: 3D convolutional neural network diagnosis of temporal lobe epilepsy. Brain Communications. 6(5). fcae346–fcae346. 1 indexed citations
3.
Hsiao, Albert, et al.. (2024). Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning. Radiology Cardiothoracic Imaging. 6(6). e240005–e240005.
4.
Kaestner, Erik, Irène Wang, Robyn M. Busch, et al.. (2023). Convolutional Neural Network Algorithm to Determine Lateralization of Seizure Onset in Patients With Epilepsy. Neurology. 101(3). e324–e335. 8 indexed citations
5.
Hasenstab, Kyle, et al.. (2023). Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features. IEEE Access. 11. 5144–5160. 9 indexed citations
6.
Hasenstab, Kyle, Nick H. Kim, Michael M. Madani, et al.. (2023). Mapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CT. Radiology Cardiothoracic Imaging. 5(4). e220221–e220221. 3 indexed citations
7.
Mahmoodi, Amin, Andrew Yen, Kathleen Jacobs, et al.. (2022). Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers. IEEE Access. 10. 48577–48588. 4 indexed citations
8.
Hasenstab, Kyle, et al.. (2022). Unsupervised Learning Identifies Computed Tomographic Measurements as Primary Drivers of Progression, Exacerbation, and Mortality in Chronic Obstructive Pulmonary Disease. Annals of the American Thoracic Society. 19(12). 1993–2002. 3 indexed citations
9.
Hasenstab, Kyle, Guilherme Moura Cunha, Shintaro Ichikawa, et al.. (2021). CNN color-coded difference maps accurately display longitudinal changes in liver MRI-PDFF. European Radiology. 31(7). 5041–5049. 2 indexed citations
10.
Hasenstab, Kyle, et al.. (2021). CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT. Radiology Artificial Intelligence. 4(1). e210211–e210211. 7 indexed citations
11.
Hasenstab, Kyle, Tara Retson, Douglas Conrad, et al.. (2021). Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network. Radiology Cardiothoracic Imaging. 3(2). e200477–e200477. 42 indexed citations
12.
Cunha, Guilherme Moura, Kyle Hasenstab, Shintaro Ichikawa, et al.. (2021). Multi-arterial phase MRI depicts inconsistent arterial phase hyperenhancement (APHE) subtypes in liver observations of patients at risk for hepatocellular carcinoma. European Radiology. 31(10). 7594–7604. 3 indexed citations
13.
Hasenstab, Kyle, et al.. (2020). Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessment. Scientific Reports. 10(1). 20336–20336. 73 indexed citations
14.
Cunha, Guilherme Moura, Kyle Hasenstab, Atsushi Higaki, et al.. (2020). Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time. European Journal of Radiology. 124. 108837–108837. 7 indexed citations
15.
Wang, Kang, Adrija Mamidipalli, Tara Retson, et al.. (2019). Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network. Radiology Artificial Intelligence. 1(2). 180022–180022. 98 indexed citations
16.
Ghahari, Elham, Christopher Bowd, Linda M. Zangwill, et al.. (2019). Association of Macular and Circumpapillary Microvasculature with Visual Field Sensitivity in Advanced Glaucoma. American Journal of Ophthalmology. 204. 51–61. 47 indexed citations
17.
Moghimi, Sasan, Linda M. Zangwill, Rafaella C. Penteado, et al.. (2018). Macular and Optic Nerve Head Vessel Density and Progressive Retinal Nerve Fiber Layer Loss in Glaucoma. Ophthalmology. 125(11). 1720–1728. 119 indexed citations
18.
Hou, Huiyuan, T. Shoji, Linda M. Zangwill, et al.. (2018). Progression of Primary Open-Angle Glaucoma in Diabetic and Nondiabetic Patients. American Journal of Ophthalmology. 189. 1–9. 30 indexed citations
19.
Yarmohammadi, Adeleh, Linda M. Zangwill, Patricia Isabel C. Manalastas, et al.. (2017). Peripapillary and Macular Vessel Density in Patients with Primary Open-Angle Glaucoma and Unilateral Visual Field Loss. Ophthalmology. 125(4). 578–587. 95 indexed citations
20.
McEvoy, Kevin, Kyle Hasenstab, Damla Şentürk, Andrew J. Sanders, & Shafali Jeste. (2015). Physiologic artifacts in resting state oscillations in young children: methodological considerations for noisy data. Brain Imaging and Behavior. 9(1). 104–114. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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