Stefan P. Haider

575 total citations
36 papers, 409 citations indexed

About

Stefan P. Haider is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology. According to data from OpenAlex, Stefan P. Haider has authored 36 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Epidemiology and 7 papers in Neurology. Recurrent topics in Stefan P. Haider's work include Radiomics and Machine Learning in Medical Imaging (24 papers), Acute Ischemic Stroke Management (9 papers) and Hepatocellular Carcinoma Treatment and Prognosis (7 papers). Stefan P. Haider is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), Acute Ischemic Stroke Management (9 papers) and Hepatocellular Carcinoma Treatment and Prognosis (7 papers). Stefan P. Haider collaborates with scholars based in United States, Germany and Canada. Stefan P. Haider's co-authors include Seyedmehdi Payabvash, Barbara Burtness, Tal Zeevi, Wendell G. Yarbrough, Kariem Sharaf, Philipp Baumeister, Amit Mahajan, Christoph A. Reichel, Benjamin H. Kann and Manju L. Prasad and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Stefan P. Haider

33 papers receiving 405 citations

Peers

Countries citing papers authored by Stefan P. Haider

Since Specialization

Citations

This map shows the geographic impact of Stefan P. Haider'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 Stefan P. Haider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan P. Haider more than expected).

Fields of papers citing papers by Stefan P. Haider

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan P. Haider. 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 Stefan P. Haider. The network helps show where Stefan P. Haider may publish in the future.

Co-authorship network of co-authors of Stefan P. Haider

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan P. Haider. A scholar is included among the top collaborators of Stefan P. Haider 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 Stefan P. Haider. Stefan P. Haider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT) 2024 ·Diagnostics ·(unknown), (unknown), (unknown), (unknown), Stefan P. Haider, Ilko Maier, Sanjay Aneja, Pina C. Sanelli, Ajay Malhotra, Adnan I. Qureshi, Jan Claassen, Soojin Park, Santosh B. Murthy, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash	1
2	Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan 2024 ·npj Digital Medicine ·(unknown), Tal Zeevi, Stefan P. Haider, (unknown), Elisa R. Berson, (unknown), Adnan I. Qureshi, Pina C. Sanelli, David J. Werring, Ajay Malhotra, Nils Petersen, Adam de Havenon, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash	12
3	Impact of¹⁸F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers 2024 ·Journal of Nuclear Medicine ·Stefan P. Haider, Tal Zeevi, Kariem Sharaf, (unknown), Amit Mahajan, Benjamin H. Kann, Benjamin L. Judson, Manju L. Prasad, Barbara Burtness, Mariam Aboian, Martin Canis, Christoph A. Reichel, Philipp Baumeister, Seyedmehdi Payabvash	3
4	Medical education during the COVID-19 pandemic: An online-only course can achieve good to medium psychomotor skill level of basic head and neck examination 2024 ·Heliyon ·Axel Lechner, Stefan P. Haider, (unknown), (unknown), F. Ravandi Kashani, Martin Canis, (unknown), Kariem Sharaf	0
5	Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke 2024 ·Diagnostics ·Emily W. Avery, (unknown), (unknown), (unknown), (unknown), Stefan P. Haider, Tal Zeevi, Pina C. Sanelli, Christopher G. Filippi, Ajay Malhotra, Charles Matouk, Guido J. Falcone, Nils Petersen, Lauren Sansing, Kevin N. Sheth, Seyedmehdi Payabvash	0
6	Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning 2024 ·European Radiology ·(unknown), Stefan P. Haider, Tal Zeevi, Steffen Huber, Sandeep Arora, (unknown), (unknown), Bernhard Gebauer, Florian Nima Fleckenstein, Marc Dewey, Ariel Jaffe, Mario Strazzabosco, Julius Chapiro, John A. Onofrey	3
7	Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics 2024 ·European Radiology ·(unknown), Steffen Huber, Sandeep Arora, Tal Zeevi, Stefan P. Haider, (unknown), (unknown), (unknown), Bernhard Gebauer, Florian Michallek, Marc Dewey, Valérie Vilgrain, Riccardo Sartoris, Maxime Ronot, Ariel Jaffe, Mario Strazzabosco, Julius Chapiro, John A. Onofrey	19
8	Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children 2023 ·Frontiers in Neuroscience ·Lin Huang, Stefan P. Haider, (unknown), (unknown), Ajay Malhotra, R. Todd Constable, Dustin Scheinost, Laura R. Ment, Kerstin Konrad, Seyedmehdi Payabvash	5
9	Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults 2023 ·Stroke and Vascular Neurology ·Julián Acosta, Stefan P. Haider, (unknown), Audrey C. Leasure, Kevin N. Sheth, Guido J. Falcone, Seyedmehdi Payabvash	4
10	Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning 2023 ·Scientific Reports ·(unknown), Tal Zeevi, (unknown), (unknown), Stefan P. Haider, Mohamed Elbanan, (unknown), MingDe Lin, John A. Onofrey, (unknown), Kirsten Cooper, Elizabeth Thomas, (unknown), Bernhard Gebauer, David C. Mulligan, Lawrence H. Staib, Ramesh Batra, Julius Chapiro	13
11	Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers 2023 ·Frontiers in Neuroscience ·Stefan P. Haider, Adnan I. Qureshi, Abhi Jain, (unknown), Elisa R. Berson, Tal Zeevi, David J. Werring, (unknown), (unknown), Ajay Malhotra, Lauren Sansing, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash	14
12	Human adipose-derived stem/stromal cells promote proliferation and migration in head and neck cancer cells 2022 ·Laryngo-Rhino-Otologie ·Kariem Sharaf, Stefan P. Haider, Olivier Gires, Martin Canis, Axel Lechner, (unknown), Sabina Schwenk‐Zieger, Frank Haubner	1
13	Age-dependent white matter microstructural disintegrity in autism spectrum disorder 2022 ·Frontiers in Neuroscience ·(unknown), Evelyn Lake, Stefan P. Haider, (unknown), Pratik Mukherjee, Dustin Scheinost, Nigel S. Bamford, Laura R. Ment, Todd Constable, Seyedmehdi Payabvash	10
14	CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion stroke 2022 ·NeuroImage Clinical ·Emily W. Avery, (unknown), (unknown), Stefan P. Haider, Tal Zeevi, Pina C. Sanelli, Christopher G. Filippi, Ajay Malhotra, Charles Matouk, Christoph J. Griessenauer, Ramin Zand, Philipp Hendrix, Vida Abedi, Guido J. Falcone, Nils Petersen, Lauren Sansing, Kevin N. Sheth, Seyedmehdi Payabvash	12
15	Dataset on acute stroke risk stratification from CT angiographic radiomics 2022 ·Data in Brief ·Emily W. Avery, (unknown), (unknown), Stefan P. Haider, Tal Zeevi, Pina C. Sanelli, Christopher G. Filippi, Ajay Malhotra, Charles Matouk, Christoph J. Griessenauer, Ramin Zand, Philipp Hendrix, Vida Abedi, Guido J. Falcone, Nils Petersen, Lauren Sansing, Kevin N. Sheth, Seyedmehdi Payabvash	5
16	Discrimination of Cancer Stem Cell Markers ALDH1A1, BCL11B, BMI-1, and CD44 in Different Tissues of HNSCC Patients 2021 ·Current Oncology ·Kariem Sharaf, Axel Lechner, Stefan P. Haider, (unknown), Christoph Walz, Gisela Kranz, Martin Canis, Frank Haubner, Olivier Gires, Philipp Baumeister	12
17	Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models 2021 ·Cancers ·Xiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, Katie Ovens, Shao Hui Huang, (unknown), Griselda Romero-Sánchez, Sahir Bhatnagar, Avishek Chatterjee, Marc Pusztaszeri, Alan Spatz, Gerald Batist, Seyedmehdi Payabvash, Stefan P. Haider, Amit Mahajan, Caroline Reinhold, Behzad Forghani, Brian O’Sullivan, Eugene Yu, Reza Forghani	5
18	Künstliche Intelligenz in der Hals-Nasen-Ohren-Heilkunde 2021 ·HNO ·Stefan P. Haider, Kariem Sharaf, Philipp Baumeister, Christoph A. Reichel	1
19	Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas 2020 ·PubMed ·Stefan P. Haider, Barbara Burtness, Wendell G. Yarbrough, Seyedmehdi Payabvash	59
20	Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics 2020 ·Translational Oncology ·Stefan P. Haider, Kariem Sharaf, Tal Zeevi, Philipp Baumeister, Christoph A. Reichel, Reza Forghani, Benjamin H. Kann, (unknown), Benjamin L. Judson, Manju L. Prasad, Chi Liu, Barbara Burtness, Amit Mahajan, Seyedmehdi Payabvash	28

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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