Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Fahimeh Fooladgar"'
Autor:
Fahimeh Fooladgar, Minh Nguyen Nhat to, Golara Javadi, Samira Sojoudi, Walid Eshumani, Silvia Chang, Peter Black, Parvin Mousavi, Purang Abolmaesumi
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. :1-8
Autor:
Ayesha Syeda, Fahimeh Fooladgar, Amoon Jamzad, Dilakshan Srikanthan, Martin Kaufmann, Kevin Ren, Jay Engel, Ross Walker, Shaila Merchant, Doug McKay, Sonal Varma, Gabor Fichtinger, John F. Rudan, Parvin Mousavi
Publikováno v:
Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling.
Autor:
Minh Nguyen Nhat To, Fahimeh Fooladgar, Golara Javadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia Chang, Peter Black, Parvin Mousavi, Purang Abolmaesumi
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 17:841-847
Ultrasound-guided biopsy plays a major role in prostate cancer (PCa) detection, yet is limited by a high rate of false negatives and low diagnostic yield of the current systematic, non-targeted approaches. Developing machine learning models for accur
Autor:
Fahimeh Fooladgar, Amoon Jamzad, Laura Connolly, Alice Santilli, Martin Kaufmann, Kevin Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger, Parvin Mousavi
Publikováno v:
International journal of computer assisted radiology and surgery. 17(12)
Rapid evaporative ionization mass spectrometry (REIMS) is an emerging technology for clinical margin detection. Deployment of REIMS depends on construction of reliable deep learning models that can categorize tissue according to its metabolomic signa
Autor:
Mahdi Gilany, Paul Wilson, Amoon Jamzad, Fahimeh Fooladgar, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e606ada9df585e61e8678dd9464abc5
https://doi.org/10.1007/978-3-031-16440-8_40
https://doi.org/10.1007/978-3-031-16440-8_40
Autor:
Fahimeh Fooladgar, Shohreh Kasaei
Publikováno v:
Multimedia Tools and Applications. 79:4499-4524
Semantic segmentation is one of the most important tasks in the field of computer vision. It is the main step towards scene understanding. With the advent of RGB-Depth sensors, such as Microsoft Kinect, nowadays RGB-Depth images are easily available.
Autor:
Fahimeh Fooladgar, Shohreh Kasaei
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030177973
One of the most important steps towards 3D scene understanding is the semantic segmentation of images. The 3D scene understanding is considered as the crucial requirement in computer vision and robotic applications. With the availability of RGB-D cam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c502f01b9223fa1e10341478fa0a4cf3
https://doi.org/10.1007/978-3-030-17798-0_44
https://doi.org/10.1007/978-3-030-17798-0_44
Publikováno v:
IEEE Sensors Journal. 13:4236-4246
Determining an object location in a specific region is an important task in many machine vision applications. Different parameters affect the accuracy of the localization process. The quantization process in charge-coupled device of a camera is one o
Autor:
Shohreh Kasaei, Fahimeh Fooladgar
Publikováno v:
DICTA
3D scene understanding is one of the most important problems in the field of computer vision. Although, in the past decades, considerable attention has been devoted on the 2D scene understanding problem, now with the development of the depth sensors
Publikováno v:
The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012).
One of the main concerns in wireless sensor networks (WSN) is the formation of full coverage of the monitored field. Conventional studies of this topic focus on two-dimension or plane coverage. However these simplified plane coverage models can not a