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Reza Aghaizadeh Zoroofi
Academic Rank : Professor
College of Engineering / School of Electrical and Computer Engineering
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Contact Number : 02182084302
Room : 2-617
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as of :
2025-04-01
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Scholarly Works
2004
2024
1729
Citations
26
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39
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46
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2024
1. New methods of summarizing capsule endoscopy videos
امیریان محدثه,
Aghaizadeh Zoroofi Reza
(2024)., The 3rd international conference of electrical engineering, computer, mechanics and new technology related to artificial intelligence, 7 June, Mashhad, Iran.
2. A novel framework for quantitative rhinoplasty evaluation by ResNet convolutional neural network
Bouchani Ziba,
Aghaizadeh Zoroofi Reza
, Sadeghi Mohammad (2024)., Biomedical Engineering Advances, 7(-).
3. Segmentation of Teeth Panoramic Images by a Deep learining approach
Mohammadi Milad,
Aghaizadeh Zoroofi Reza
(2024)., The second conference on Computer Engineering, Electricity and Technology, 17 February, Tehran, Iran.
4. An Automatic Framework for Nasal Esthetic Assessment by ResNet Convolutional Neural Network
Ashoori Maryam,
Aghaizadeh Zoroofi Reza
, Sadeghi Mohammad (2024)., Journal of Imaging Informatics in Medicine, 37(-), 455-470.
2023
1. MATER: Bi-level matching-aggregation model for time-aware expert recommendation
Zahedi Mohammad Sadegh,
Rahgozar Maseud
,
Aghaizadeh Zoroofi Reza
(2023)., EXPERT SYSTEMS WITH APPLICATIONS, 237(Part B).
2. A Novel Framework for Predicting the Score of Nasal Aesthetic based on Machin Learning Algorithm
Ashori M..,
Aghaizadeh Zoroofi Reza
, صادقی محمد (2023)., Biomedical Engineering, 17(2).
2021
1. A new method to evaluate the nasal base view based on color coding
Ashoori Maryam,
Aghaizadeh Zoroofi Reza
, Sadeghi Mohmmad (2021)., 28th National Conference and 6th International Conference on Biomedical Engineering of Iran, 1400, 25-26 November, Tehran, Iran.
2. Automatic semantic segmentation based on Segunet architecture of MR images of the lumbar spine
Ansarifard Mohammad,
Aghaizadeh Zoroofi Reza
(2021)., 28th National Conference and 6th International Conference on Biomedical Engineering of Iran, 1400, 25-26 November, Tehran, Iran.
3. Automatic Musculoskeletal Segmentation in Medical Images
مولایی ملیحه, MohammadNejad Eisa,
Aghaizadeh Zoroofi Reza
(2021)., Journal of Police Medicine, 10(3).
4. Thigh muscle segmentation using a hybrid FRFCM‐based multi‐atlas method and morphology‐based interpolation algorithm
Molaie Malihe,
Aghaizadeh Zoroofi Reza
(2021)., IET Image Processing, 15(11), 2572-2579.
5. Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks
Tahghighi Peyman,
Aghaizadeh Zoroofi Reza
, Safi Sare, Ramezani Alireza, Ahmadieh Hamid (2021)., 2021 26th International Computer Conference, Computer Society of Iran (CSICC), Tehran, Iran, 3-4 March, Tehran, Iran.
2020
1. A comprehensive review of endoscopic image processing: methods, applications Clinical, advantages and disadvantages
Biniaz Abbas,
Aghaizadeh Zoroofi Reza
(2020)., Journal of Machine Vision and Image Processing, هفتم(دوم).
2. HCA: Hierarchical Compare Aggregate model for question retrieval in community question answering
Zahedi Mohammad Sadegh,
Rahgozar Maseud
,
Aghaizadeh Zoroofi Reza
(2020)., INFORMATION PROCESSING & MANAGEMENT, 57(6), 102318.
3. Automatic segmentation of tooth using deep convolutional neural network in cone-beam CT images
Ghozatlou Omid,
Aghaizadeh Zoroofi Reza
(2020)., 1st Scientific Resaerch Conference Mechanics, Electrical, Computer and Engineering Sciences, 1-3 September, Baku, Azerbaijan.
4. A Knowledge-Based Modality-Independent Technique for Concurrent Thigh Muscle Segmentation: Applicable to CT and MR Images
مولایی ملیحه,
Aghaizadeh Zoroofi Reza
(2020)., JOURNAL OF DIGITAL IMAGING, 33(5), 1122-1135.
5. Automatic reduction of wireless capsule endoscopy reviewing time based on factorization analysis
Biniaz Abbas,
Aghaizadeh Zoroofi Reza
, Masud Reza Sohrabi (2020)., Biomedical Signal Processing and Control, 59(101897), 101897.
6. Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework
Jodeiri Sheikhzadeh Ata Ollah,
Aghaizadeh Zoroofi Reza
, Hiasa Yuta, Takao Masaki, Sugano Nobuhiku, Sato Yoshinobu, Otake Yoshito (2020)., COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 184(105282), 105282.
2019
1. A Rapid Technique for 3D Visulazation of Medical Images
مولایی ملیحه,
Aghaizadeh Zoroofi Reza
(2019)., Iranian Conference of Biomedical Engineering, 16-21 December, Tehran, Iran.
2. Integrated system for automatic detection of representative video frames in wireless capsule endoscopy using adaptive sliding window singular value decomposition
Biniaz Abbas, Abdolali Fatemeh,
Aghaizadeh Zoroofi Reza
(2019)., IET Image Processing, 2019(1), 1-7.
3. Automatic Detection of Salient Video Frames from Wireless Capsule Endoscopy using Adaptive Singular Value Decomposition
Biniaz Abbas, [] [],
Aghaizadeh Zoroofi Reza
, HajiMaghsoudi Omid, Sato Yoshinobu (2019)., Biomedical Engineering, 12(4), 1-14.
4. A novel image-based retrieval system for characterization of maxillofacial lesions in cone beam CT images
[] [],
Aghaizadeh Zoroofi Reza
, Otake Yoshito, Sato Yoshinobu (2019)., International Journal of Computer Assisted Radiology and Surgery, 14(5), 785-796.
2018
1. Fully automated detection of the mandibular canal in cone beam CT images using Lie group based statistical shape models
[] [],
Aghaizadeh Zoroofi Reza
, Biniaz Abbas (2018)., 2018 25th national and 3rd International Iranian Conference on Biomedical Engineering (ICBME), 20-22 November, Tehran, Iran.
2. Thigh Muscle Segmentation in CT Images
Fazli besheli Behrang,
Aghaizadeh Zoroofi Reza
(2018)., 25th Iranian Conference of Biomedical Engineering, 7-9 October, Qom, Iran.
3. Concurrent and Anatomical Knowledge Based Segmentation of Thigh Muscles using Level Sets in CT Images
Molaie Malihe,
Aghaizadeh Zoroofi Reza
(2018)., 25th Iranian Conference of Biomedical Engineering, 7-9 October, Qom, Iran.
4. Fully automated segmentation of maxillofacial lesions based on 3D feature descriptors and symmetry analysis
[] [],
Aghaizadeh Zoroofi Reza
(2018)., 26th Iranian Conference on Electrical Engineering (ICEE2018), 10-12 May, Tehran, Iran.
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