Martin Halicek

2.3k total citations · 1 hit paper
43 papers, 1.7k citations indexed

About

Martin Halicek is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Martin Halicek has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Biomedical Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Martin Halicek's work include Optical Imaging and Spectroscopy Techniques (16 papers), AI in cancer detection (12 papers) and Photoacoustic and Ultrasonic Imaging (11 papers). Martin Halicek is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (16 papers), AI in cancer detection (12 papers) and Photoacoustic and Ultrasonic Imaging (11 papers). Martin Halicek collaborates with scholars based in United States, Spain and China. Martin Halicek's co-authors include Baowei Fei, James V. Little, Amy Y. Chen, Samuel Ortega, Himar Fabelo, Gustavo M. Callicó, James D. Dormer, Britton Smith, Tom Abel and John Wise and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Martin Halicek

42 papers receiving 1.7k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The birth of a galaxy – III. Propelling reionization with the faintest galaxies

2014 276 citations Martin Halicek et al. profile →

Peers

Countries citing papers authored by Martin Halicek

Since Specialization

Citations

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

Fields of papers citing papers by Martin Halicek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Halicek. 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 Martin Halicek. The network helps show where Martin Halicek may publish in the future.

Co-authorship network of co-authors of Martin Halicek

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Halicek. A scholar is included among the top collaborators of Martin Halicek 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 Martin Halicek. Martin Halicek 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	Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features 2022 ·PubMed ·(unknown), Martin Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Baowei Fei	2
2	Rapid 3D reconstruction guided embolization for catastrophic bleeding following vacuum assisted breast biopsy; A case report and review of the literature 2021 ·SHILAP Revista de lepidopterología ·Martin Halicek, (unknown), Driss Raissi, Xiaoqin Wang, Yevgen Chornenkyy, (unknown), Michael Winkler	4
3	Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited] 2020 ·Biomedical Optics Express ·Samuel Ortega, Martin Halicek, Himar Fabelo, Gustavo M. Callicó, Baowei Fei	121
4	Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks 2020 ·Sensors ·Samuel Ortega, Martin Halicek, Himar Fabelo, Rafael Camacho, María de la Luz Plaza, Fred Godtliebsen, Gustavo M. Callicó, Baowei Fei	66
5	Hyperspectral Superpixel-Wise Glioblastoma Tumor Detection in Histological Samples 2020 ·Applied Sciences ·Samuel Ortega, Himar Fabelo, Martin Halicek, Rafael Camacho, María de la Luz Plaza, Gustavo M. Callicó, Baowei Fei	10
6	Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images 2020 ·PubMed ·Samuel Ortega, Martin Halicek, Himar Fabelo, Raúl Guerra, Carlos López, Marylène Lejeune, Fred Godtliebsen, Gustavo M. Callicó, Baowei Fei	45
7	Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net 2020 ·PubMed ·(unknown), Martin Halicek, James D. Dormer, Animesh Tandon, Tarique Hussain, Baowei Fei	7
8	Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning 2020 ·Biomedical Optics Express ·Martin Halicek, James D. Dormer, James V. Little, Amy Y. Chen, Baowei Fei	77
9	Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain 2019 ·Sensors ·Himar Fabelo, Martin Halicek, Samuel Ortega, Maysam Shahedi, Adam Szołna, Juan F. Piñeiro, Coralia Sosa, (unknown), Sara Bisshopp, (unknown), (unknown), María Antonia Gil Hernández, David Carrera-Villacrés, Jesús Pérez Morera, Gustavo M. Callicó, Roberto Sarmiento, Baowei Fei	124
10	In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer 2019 ·Cancers ·Martin Halicek, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó, Baowei Fei	156
11	Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks 2019 ·PubMed ·Martin Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei	9
12	Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth 2019 ·PubMed ·Martin Halicek, Himar Fabelo, Samuel Ortega, James V. Little, Xu Wang, Amy Y. Chen, Gustavo M. Callicó, Larry L. Myers, Baran D. Sumer, Baowei Fei	17
13	Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks 2019 ·Scientific Reports ·Martin Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei	77
14	A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling 2019 ·PubMed ·Maysam Shahedi, Martin Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, (unknown), David M. Schuster, Baowei Fei	4
15	Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks 2018 ·PubMed ·Martin Halicek, James V. Little, (unknown), Mihir R. Patel, Christopher Griffith, Amy Y. Chen, Baowei Fei	36
16	Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks 2018 ·PubMed ·Martin Halicek, Baowei Fei, James V. Little, Xu Wang, Mihir R. Patel, Christopher Griffith, Amy Y. Chen, Mark W. El‐Deiry	32
17	Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches 2018 ·PubMed ·James D. Dormer, Martin Halicek, Ling Ma, Carolyn M. Reilly, Baowei Fei, Eduard Schreibmann	10
18	A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics 2018 ·PubMed ·Ling Ma, Rongrong Guo, Guoyi Zhang, David M. Schuster, Peter T. Nieh, (unknown), Martin Halicek, Maysam Shahedi, Baowei Fei	7
19	Deformable registration of histological cancer margins to gross hyperspectral images using demons 2018 ·PubMed ·Martin Halicek, James V. Little, Xu Wang, Mihir R. Patel, Christopher Griffith, Amy Y. Chen, Baowei Fei, Mark W. El‐Deiry, Nabil F. Saba, (unknown)	10
20	Characterization of the Contribution of Genetic Background and Gender to Disease Progression in the SOD1 G93A Mouse Model of Amyotrophic Lateral Sclerosis: A Meta-Analysis 2015 ·Journal of Neuromuscular Diseases ·Stephen Pfohl, Martin Halicek, Cassie S. Mitchell	88

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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