Maysam Shahedi

611 citations

37 papers · 435 indexed · h-index 11

Radiology, Nuclear Medicine and Imaging top 10%
Biomedical Engineering
Artificial Intelligence top 10%
Computer Vision and Pattern Recognition top 10%
Pulmonary and Respiratory Medicine

Co-authors: Baowei Fei Martin Halicek Larry L. Myers James V. Little Amy Y. Chen James D. Dormer Baran D. Sumer David Carrera-Villacrés
Topics: Medical Image Segmentation Techniques (9 papers)AI in cancer detection (7 papers)Advanced Neural Network Applications (7 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Biophysics
Journals: Scientific Reports American Journal of Obstetrics and Gynecology Sensors
Partner nations: United States Canada China

In The Last Decade

Maysam Shahedi

34 papers receiving 430 citations

Peers

Countries citing papers authored by Maysam Shahedi

Since Specialization

Citations

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

Fields of papers citing papers by Maysam Shahedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maysam Shahedi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Topography-based feature extraction of the human placenta from prenatal MR images 2023 ·PubMed ·(unknown),Maysam Shahedi,N. Quyen,Yin Xi,Matthew A. Lewis,Christina L. Herrera,David M. Owen,Catherine Y. Spong,Ananth J. Madhuranthakam,Diane M. Twickler,Baowei Fei	1
2	CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum 2022 ·PubMed ·James D. Dormer,(unknown),Maysam Shahedi,(unknown),N. Quyen,Yin Xi,Matthew A. Lewis,Ananth J. Madhuranthakam,Christina L. Herrera,Catherine Y. Spong,Diane M. Twickler,Baowei Fei	3
3	LED-based hyperspectral endoscopic imaging 2022 ·PubMed ·(unknown),Maysam Shahedi,James D. Dormer,Ling Ma,(unknown),Shashank R. Sirsi,Yi‐Shing Lisa Cheng,Baowei Fei	8
4	An augmented reality-assisted visualization system for potential applications in prostate biopsy 2022 ·PubMed ·(unknown),James D. Dormer,Maysam Shahedi,Baowei Fei	5
5	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
6	Development of a real-time spectral imaging system using in-site micro-LED-based illumination and high-speed micro-camera for endoscopic applications 2021 ·PubMed ·(unknown),Maysam Shahedi,James D. Dormer,Baowei Fei	4
7	Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS) 2021 ·PubMed ·Yin Xi,Maysam Shahedi,N. Quyen,James D. Dormer,Matthew A. Lewis,Baowei Fei,Catherine Y. Spong,Ananth J. Madhuranthakam,Diane M. Twickler	2
8	Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling 2021 ·PubMed ·(unknown),Maysam Shahedi,Jonathan E. Shoag,Christopher E. Barbieri,Daniel Margolis,Baowei Fei	0
9	Technical note: The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networks 2021 ·Medical Physics ·Maysam Shahedi,James D. Dormer,Martin Halicek,Baowei Fei	3
10	Virtual reality assisted cardiac catheterization 2021 ·PubMed ·(unknown),James D. Dormer,(unknown),Maysam Shahedi,Baowei Fei	2
11	A complex dual-modality kidney phantom for renal biopsy studies 2020 ·PubMed ·(unknown),Phuc Van Le,Maysam Shahedi,Jeffrey Gahan,Brett A. Johnson,James D. Dormer,(unknown),(unknown),(unknown),(unknown),Qinmei Li,Baowei Fei	2
12	Segmentation of uterus and placenta in MR images using a fully convolutional neural network 2020 ·PubMed ·Maysam Shahedi,James D. Dormer,(unknown),N. Quyen,Yin Xi,Matthew A. Lewis,Ananth J. Madhuranthakam,Diane M. Twickler,Baowei Fei	15
13	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
14	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
15	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
16	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
17	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
18	A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling 2018 ·Medical Physics ·Maysam Shahedi,Martin Halicek,Rongrong Guo,Guoyi Zhang,David M. Schuster,Baowei Fei	14
19	Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging 2017 ·Journal of Digital Imaging ·Maysam Shahedi,Derek W. Cool,Glenn Bauman,(unknown),Aaron Fenster,Aaron D. Ward	21
20	Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods 2014 ·Medical Physics ·Maysam Shahedi,Derek W. Cool,Cesare Romagnoli,Glenn Bauman,(unknown),Eli Gibson,George Rodrigues,Belal Ahmad,Michael Lock,Aaron Fenster,Aaron D. Ward	15

About Maysam Shahedi

Maysam Shahedi is a scholar working on Obstetrics and Gynecology, Computer Vision and Pattern Recognition and Critical Care and Intensive Care Medicine, having authored 37 papers that have together received 435 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), AI in cancer detection (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (215 citations) and Biophysics (44 citations). Maysam Shahedi has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Baowei Fei, Martin Halicek, Larry L. Myers, James V. Little, Amy Y. Chen, James D. Dormer, Baran D. Sumer, David Carrera-Villacrés, Samuel Ortega and Adam Szołna. Their work appears in journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and Sensors.

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.

Explore authors with similar magnitude of impact