the first national conference on artificial intelligence · hamid soltanian-zadeh, university of...

The First National Conference on

Artificial Intelligence in

Medical Imaging

Nov 2-5, 2019 – Tehran / IRAN

Final Program

Welcome Note

Artificial Intelligence algorithms particularly deep learning, have recently gone through significant advances, more prominently in the field of medical imaging to facilitate image-centric diagnosis. AI enhanced automation has changed most of the clinical radiological decision by relying on digital information rather than subjective decisions. Medical images associated with the clinical interpretation have resulted in significant developments in medical research. So, efforts are taking place to facilitate advancement of AI in medical imaging. The common applications of AI in medical imaging include optimized protocol design, big data analytics based on image content, quantitative feature extraction from medical images, medical imaging informatics, radiomics and hardware improvement to achieve higher image quality.

Clinical applications of AI in real radiology practice may bring higher accuracy, reduced time and reproducibility of the services by the change from qualitative to quantitative assessments.

Artificial Intelligence in Medical Imaging Network (AIMIN) has been established to promote education and research in the field of AI by interdisciplinary collaborations. National Brain Mapping Lab holds the first national meeting on AI in Medical Imaging on Nov 2-5, 2019. The conference in enriched by contribution of world known experts to overview the current status of this rising technology.

We warmly welcome all professionals and researches in the field of engineering and medical imaging to this pioneering event.

Mohammad Reza Ay, Director, National Brain Mapping Lab

AIMIN 2019 at A Glance

Day Event Venue

Nov 2, 2019 Hands-on Workshop (MATLAB) NBML, Hall 2

Modern Trends in Neuroimaging (Part1) NBML, Hall 1

Nov 3, 2019 EuSoMII Academy on Medical Imaging AI TUMS, Main Hall

Nov 4, 2019 Neuroimaging AI Challenge TUMS, Workshop Room

Hot Topics in Imaging Informatics TUMS, Main Hall

Scientific Session TUMS, Workshops Room

Scientific Posters TUMS, Exhibition Area

Modern Trends in Neuroimaging (Part2) NBML, Hall 1

Nov 5, 2019 Hands-on Workshop (Python) NBML, Hall 1

Hands-on Workshop (KNIME) NBML, Hall 2

Conference Venue: Tehran University of Medical Sciences, Main Building &

National Brain Mapping Laboratory

Conference Date: Nov 2-5, 2019

Organizer: National Brain Mapping Lab together with Artificial Intelligence in

Medical Imaging Network and European Society of Medical Imaging

Informatics (EuSoMII)

Conference Language: English/Persian

AIMIN2019 Core Group

Mansoor Fatehi, MD, CIIP (Conference President) Chief of Imaging Informatics, Virtual University of Medical Sciences

Hamid R. Rabiee, PhD (Chairman of Scientific Committee) Professor, Department of Computer Engineering Sharif University of Technology Consultant & Expert Member of World Health Organization: AI in eHealth

Hossein Ghadiri, PhD (Chairman of Executive Committee) Assistant Professor of Imaging, Medical Physicist Tehran University of Medical Sciences Vice Director of Executive Affairs, National Brain Mapping Lab

Alireza Shakibafard, MD (Chair of Imaging Informatics) Consultant Radiologist, Shiraz University of Medical Sciences

Hossein Ebrahimpour-komleh, PhD (Chairman of Hands-on Workshop Committee) Assistant Professor in Artificial Intelligence and Data Analytics Intelligent Systems Research Center The University of Kashan

Mahyar Mohammadifard, MD (Neuroimaging Workshop Director) Associate Professor & Chief of Department of Radiology, Birjand University of Medical Sciences

Charles Kahn, USA (Online Presentation)

Professor of Radiology, University of Pennsylvania Editor-in-Chief, Radiology: Artificial Intelligence

Radiological Society of North America

Henning Muller, Switzerland

Professor of Information Systems, University of Applied Sciences Western Switzerland

Raym Geis, USA (Online Presentation)

Senior Scientist, Data Science Institute, American College of Radiology

Erik Ranschaert, The Netherlands

AI Project Manager at Netherlands Cancer Institute

President, European Society of Medical Imaging Informatics

Behrang Amini, USA (Online Presentation)

Associate Professor

Department of Musculoskeletal Imaging

MD Anderson Cancer Center

AIMIN2019 Invited Speakers

In Collaboration with

European Society of Medical Imaging Informatics

www.eusomii.org

EuSoMII Academy - Nov 3, 2019

Time Topic & Speaker

8:15-08:30 Welcome Address: Mohammad Reza Ay Conference President Report: Mansoor Fatehi

Session 1 Artificial Intelligence in Medicine: Basic Concepts Chairs: H. Rabiee, J. Jalal Shokouhi

8:30-09:00 AI in Radiology: From Theory into Practice Erik Ranschaert, EuSoMII President, The Netherlands

09:00-09:30 Overview of the VISCERAL benchmarks on intelligent medical data analysis Henning Muller, University of Applied Sciences Western Switzerland, Switzerland

09:30-10:00 Collaborative AI Research In Medical Imaging: Trends and Challenges Mansoor Fatehi, Iranian Brain Mapping Biobank, Iran

10:00-10:30 Coffee Break

Session 2 Image-centric Artificial Intelligence in Radiology Chairs: AA Ameri, Gh. Hosseinzadeh

10:30-11:00

Creating an AI ecosystem for multimodal data analysis in the MedGIFT group Henning Muller, University of Applied Sciences Western Switzerland, Switzerland

11:00-11:30 Optimizing AI Algorithms to Extract the Best of Medical Images Hamidreza Rabiee, Sharif University of Technology, Iran

11:30-12:00 Domain Specific AI Application in Medical Imaging: Use Cases Erik Ranschaert, The Netherland Cancer Institute, The Netherlands

12:00-12:30 Deep MR Imaging: Using AI to Enhance MR Protocols Hamidreza Salighehrad, Tehran University of Medical Sciences, Iran

12:30-13:30 Lunch Break

EuSoMII Academy - Nov 3, 2019

Session 3 Non-Image-Centric Artificial Intelligence in Radiology Chairs: MR. Ay, H. Ebrahimpour

13:30-14:30 Panel Discussion: Radiologists’ Wish List for AI Applications in Medical Imaging Moderator: Alireza Shakibafard, Shiraz University of Medical Sciences Participants: Jalal Jalalshokouhi (Head & Neck Imaging) Mehrdad Bakhshayeshkaram (Thoracic Imaging) Masoumeh Gity (Breast Imaging) Mansoor Fatehi (MSK Imaging) Alireza Radmard (Abdominal Imaging)

14:30-14:50 Medical Big Data: Opportunities and Challenges Hossein Ebrahimpour, Kashan University, Iran

14:50-15:10 Medical Imaging Reports: Intelligent Information Retrieval Ashkan Sami, Shiraz University, Iran

15:10-15:30 Prediction of General Intelligence Using DTI Data Hamid Soltanian-zadeh, University of Tehran


Session 4 Challenges and Future Directions in Radiological Artificial Intelligence Chairs: A. Sami, M. Fatehi

16:00-16:30 Medical Imaging and AI: Ethical Issues Raym Geis, (ACR Data Science Institute), USA

16:30-17:00 Explainable Artificial Intelligence Charles Kahn, University of Pennsylvania, USA

17:00-17:20 Calibration of Probabilistic Model Output: Introduction and Online Tool Behrang Amini, MD Anderson Cancer Center, USA

17:20-17:40 AI Startups – The Need for Collaborative Research and Development Maedeh S Tahaei, ICTIC, Sharif University of Technology

Hot Topics in Imaging Informatics – Nov 4, 2019

Time Topic & Speaker

Session 1 Enterprise PACS & Image Sharing Chairs: M. Sanei Taheri, S. Marashi

8:30-09:00 Enterprise Imaging: Where? When? How? Alireza Shakibafard, Shiraz University of Medical Sciences

09:00-09:30 National PACS Network: Dream or Feasible Expectation? Sina Marashi, Tehran University of Medical Sciences

09:30-10:00 The Experience of Enterprise Imaging in Iran Masood Raeesi, Taimaz


Session 2 Decision Support in Radiology Chairs: M. Tara, H. Haghighatkhah

10:30-11:00

Basics of Medical Decision Support Saeed Eslami, Mashhad University of Medical Sciences

11:00-11:30 Referral Guidelines in Radiology: Point of Care Advice Mansoor Fatehi, Virtual University of Medical Sciences

11:30-12:30 Panel Discussion: How to Use Electronic Referral Guidelines in Practice Moderator: Mansoor Fatehi, EuroSafe Imaging Committee Member Participants: Ahmad Mir, Iranian Association of Surgeons Mostafa Jaberansari, Iranian Association of Surgeons

Mahmoud Tara, National Board of Medical Informatics

Faranak Naderkhani, Office of Standards, MOH

Saeed Anvari, Iranian Health Insurance Organization

Azam Aslani, Shiraz University of Medical Sciences

Shahram Nooshin, Iranian Social Security Organization

12:30-13:30 Lunch

Hot Topics in Imaging Informatics – Nov 4, 2019

Session 3 Structured Medical Documentation Chairs: A. Shakibafard, R. Zoroofi

13:30-14:00 Standard Reporting Systems: The Example of BIRADS Masoumeh Gity, Tehran University of Medical Sciences

14:00-14:30 Added Value of Structured Reporting for Medical Practice and Management Ashkan Sami, Shiraz University

14:30-15:00 Templates, Modules, Common Data Elements: Building Blocks of Structured Reporting Mansoor Fatehi, Virtual University of Medical Sciences

15:00-15:15 Question & Answer

15:15-15:30 Cloud Based Medical Image Sharing Platform Archivemed Startup


Session 4 mHealth & Radiology Chairs: M. Ebrahimi, A Aslani

16:00-16:30 Mobile Devices as PACS Viewers Alireza Shakibafard, Shiraz University of Medical Sciences

16:30-17:00 Tablets as Clinical Decision Making Tools for Radiologists Mojtaba Ebrtahimi, Negarazma Imaging Center

17:00-17:30 Medical Image Sharing with Portable Devices Hossein Ravankah, MarcoPACS

17:30-18:00 Closing Ceremony

Scientific Session &

Scientific Posters

AIMIN2019 Scientific Program Committee

Hamid R. Rabiee, PhD (Chairman) Professor, Department of Computer Engineering Sharif University of Technology Consultant & Expert Member of World Health Organization: AI in eHealth

Gholamali Hosseinzadeh, PhD Professor of Electrical Engineering, Bioelectric School of Electrical & Computer Engineering, University of Tehran

Abbas Arjmand Shabestari, MD Associate Professor of Radiology, Shahid Beheshti University of Medical Sciences

Ashkan Sami, PhD Associate Professor of Software Engineering, Department of Electrical and Computer Engineering, Shiraz Univeristy

Hamidreza Saligheh Rad, PhD Assistant Professor, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences

Mohammad Hossein Rohban, PhD Assistant Professor of Computer Engineering Computer Engineering Department, Sharif University of Technology

Hossein Peyvandi, PhD Fellowship of HEA, UK Lecturer, Computer Engineering Department, Sharif University of Technology

Maedeh. S. Tahaei, PhD Postdoctoral Research Fellow, Principal Investigator of Brain and Cognitive Science Lab (BCS), Department of Computer Engineering, Sharif University of Technology

Anahita Fathi Kazerooni, PhD Postdoctoral Research Fellow, Center for Biomedical Image Computing & Analysis, Department of Radiology, Perelman School of Medicine, University of Pennsylvania

Mansoor Fatehi, MD, CIIP Chief of Imaging Informatics Department, Virtual University of Medical Sciences

AIMIN2019 - Scientific Session, Nov 4, 2019 Chairs: Gh Hosseinzadeh, MH Rohban, H Ebrahimpour 13:30 Deep Learning Approach for Left Atrium Segmentation

Mostafa Ghelich Oghli, Intelligent Imaging Technology Research Center

13:45 Skin Lesion Diagnosis Using Ensemble Deep Learning Models Parsa Esfahanian, Institute for Research in Fundamental Sciences

14:00 Automatic Assessment of Ki-67 Proliferation Index in Lymphoma Ramin Nateghi, Shiraz University of Technology

14:15 Automatic Fetal Biometry Evaluation in Ultrasound Images Using A Deep Learning Based Approach Mostafa Ghelich Oghli, Intelligent Imaging Technology Research Center

14:30 A Deep Learning Based Approach for Breast BI-RADS Prediction in Shear Wave Elastography Images Ali Shabanzadeh, Intelligent Imaging Technology Research Center

14:45 Segmentation of Diabetic Retinopathy Lesions in Retinal Fundus Images using Multi-view Convolutional Neural Networks Hassan Khastavaneh, University of Kashan

15:00 Abnormality Detection in Musculoskeletal Radiographs by DENSENET and INCEPTION-V3 Zahra Rezaei, University of Kashan

15:15 Fully Automated Computer-assisted Diagnosis Method for Mitosis Detection in Histology Slide Images of Breast Cancer Fattane Pourakpour, National Brain Mapping Lab

15:30 Automatic Bone Age Determination Using Wrist MRI Based

on FIFA Grading System for Athletes: Deep Learning Approach Ramin Nateghi, Shiraz University of Technology

15:45 Epilepsy Presurgical Evaluation of Patients with Complex Source Localization by A Novel Component-based EEG-fMRI Approach Elias Ebrahimzadeh, University of Tehran

16:00 Diagnostic Accuracy of Multi-Parametric Magnetic Resonance Imaging for Differentiation of Benign and Malignant Lesions of Prostate Using Radiomics Analysis Hamidreza Salighehrad, Tehran University of Medical Sciences

16:15 An Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors Hamidreza Salighehrad, Tehran University of Medical Sciences

16:30 Automatic Myocardial Segmentation in 4 Chamber View Echocardiography Images Mostafa Ghelich Oghli, Intelligent Imaging Technology Research Center

16:45 Design of Multivariate Hotelling’s T2 Control Chart Based on Medical Images Processing Amirhossein Amiri, Shahed University

17:00 Multi-institutional Medical Imaging Research Data Collection: Challenges of Standardization of Protocols & Header Information to Make an Imaging Biobank Bahaareh Siahlou, National Brain Mapping Lab

AIMIN2019 - Scientific Posters, Nov 4, 2019 (10:00-12:00) Systematic Review for Evaluating Effects of Teleradiology Sajad Karimian, Urmia University of Medical Science

Cobb Angle Measurement Decision Support System of Radiography Images in Patients with Idiopathic Scoliosis Peiman Rezaei Hachesu, Tabriz University Medical of Science

Designing a Structured System for Mammography Reporting Roxana Sharifian, Shiraz University of Medical Sciences

Using Kalman Filter to Improve the Accuracy of Diffusion Coefficients in MR Imaging: a Simulation Study Sam Sharifzadeh Javidi, Tehran University of Medical Sciences

A Diagnostic Machine Classifier Using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors Elnaz Tabibian, Tehran University of Medical Sciences

Evaluation of IoT Capability in Detecting Computer Kidney Malformations on Ultrasound Imaging System Soheila Vashghani Farahani, Lorestan University of Medical Sciences

Medical Image Fusion Based on Deep Convolutional Neural Network Abolfazl Sedighi, Islamic Azad University Karaj Branch

Classification of Brain MRI for Alzheimer’s Disease Detection Based on Ensemble Machine learning Soheil Ahmadzade Irandoost, Tehran University of Medical Science,

A Proposal to Approach Cloud-Based Enterprise Imaging for Medical Universities in Iran Using the Existing DICOM Infrastructure Masood Raeesi, Team Leader of Imaging Informatics Dept, Sorenahealth

Automatic Detection and Classification of White Blood Cells in Blood Smear Images Using Convolutional Neural Network Ramin Nateghi, Shiraz University of Technology

Brain Tumor Classification by Using Deep Learning Methods Mohammad Abbasi, Islamic Azad University, Tehran, Iran

Mobile Devices for Viewing Medical Images: a Review of the Literature Farhad Fatehi, University of Queensland, Brisbane, Australia

Making EEG Experiments Retrievable for the Research Purpose: The Preliminary Experience of Standardization of EEG Data in Iranian Brain Mapping Biobank Zeynab Khodakarami, National Brain Mapping Lab

Hands-on Workshops

AI in Neuroradiology

AIMIN2019 AI Hands-on Workshops Team

Hossein Ebrahimpour-komleh, PhD (Chairman) Assistant Professor in Artificial Intelligence and Data Analytics Intelligent Systems Research Center The University of Kashan

Zahra Rezaei, Ph.D. Candidate Artificial Intelligence Group, Department of Computer Engineering, University of Kashan, Kashan, Iran

Hassan Khastavaneh, Ph.D. Candidate Artificial Intelligence Group, Department of Computer Engineering, University of Kashan, Kashan, Iran

Mohsen Yazdinejad, PhD Student Artificial Intelligence Group, University of Isfahan

Behnaz Esalmi, MSc M.Sc. Information Technology Engineering (E-Commerce) Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Esmaeil Zahedi, PhD Candidate Artificial Intelligence Group, University of Isfahan

Mohammad Abbasi Freelance Programmer

Rezvaneh Amanati Kashani, PhD Student Artificial Intelligence Group, University of Zanjan

Section 1: MATLAB (Nov 2, 2019) Program Outline

Time Topic

08:30 Artificial Intelligence in Medical Imaging: An Overview Dr. Ebrahimpour

08:50 Artificial Intelligence in Medical Imaging: Clinical Perspective Dr. Fatehi

09:10 A Gentle Introduction to Deep Learning in Medical Image Processing Dr. Ebrahimpour

Deep Models in classification

Hyper parameters definition

Applications of deep learning methods in medical processing

Tricks for Better Learning

10:30 Tea Break

10:45 How to Handle the Design Challenges in Deep Learning within Matlab Environment? (Network Configuration) Mr. Yazdinejad

11:00 Practical Exercise for Problem Solving in Neuroimaging AI: Imaging Biomarkers of Dementia

Mr. Zahedi Deployment of designed network

12:30 Lunch Break

13:30 How to Handle the Training Phase Challenges in Deep Learning within MATLAB Environment? Dr. Ebrahimpour Mr. Yazdinejad Preprocessing, Data Augmentation, Deployment of A Sample Model


Mr. Zahedi Training the model and tuning hyper parameters

15:15 Tea Break

15:30 How to Handle the Testing Phase & Improvement Challenges in Deep Learning within matlab Environment? Mr. Yazdinejad Prediction phase, saving the model (weights)


Mr. Zahedi Loading checkpoints (model weights), Predicting test image labels

17:15 Closing Remarks

Section 2: Python (Nov 5, 2019) Program Outline

Time Topic

08:30 Artificial Intelligence in Medical Imaging: An Overview Mrs. Rezaei

08:50 Artificial Intelligence in Medical Imaging: Clinical Perspective Dr. Fatehi

09:10 A Brief Introduction to Deep Learning in Medical Image Processing Mr. Khastavaneh

Background and Motivation in deep models

Problem Statement and Framework Overview

Applications of deep learning methods in medical processing

Tricks for Better Learning

10:30 Tea Break

10:45 How to Handle the Design Challenges in Deep Learning within Keras Environment? (Network Configuration) Mrs. Rezaei How to design a neural network (important components) Building Blocks of CNNs


Mr. Abbasi Deploy designed network using keras

12:30 Lunch Break

13:30 How to Handle the Training Phase Challenges in Deep Learning within Keras Environment? Mrs. Rezaei Preprocessing, Data Augmentation, Deployment of a Sample Model


Mr. Abbasi Training the model and tuning hyper parameters

15:15 Tea Break

15:30 How to Handle the Testing Phase & Improvement Challenges in Deep Learning within Keras Environment? Mr. Khastavaneh Prediction phase, saving the model (weights)


Mr. Abbasi Loading checkpoints (model weights), predicting test image labels


Section 3: Graphical Environments (KNIME) (Nov 5, 2019) Program Outline

Time Topic

08:30 Artificial Intelligence in Medical Imaging: An Overview Dr. Ebrahimpour

08:50 A Brief Introduction to Deep Learning in Medical Image Processing Mrs. Eslami

09:10 Introduction to KNIME Mrs. Amanati (Loading data, Data Workflows, Making Model, Model Evaluation, Scoring and Image Analytics Classification)

10:30 Tea Break

10:45 How to Handle the Design Challenges in Deep Learning within Knime Environment? (Network Configuration) Mrs. Rezaei

11:00 Practical Exercise for Problem Solving in Neuroimaging AI: Imaging Biomarkers of Dementia Creating a workflow for training on sample of Biomedical Images

12:30 Lunch Break

13:30 How to Handle the Training Phase Challenges in Deep Learning within KNIME Environment? Dr. Ebrahimpour


Mrs. Eslami Training network, Setting hyper-parameters

15:15 Tea Break

15:30 How to Handle the Testing Phase & Improvement Challenges in Deep Learning within Knime Environment? Mrs. Amanati


Mrs. Eslami & Mrs.Rezaei Testing network by feeding Sample Biomedical Images


Neuroradiology AI Challenge

Intelligent Assessment of Imaging

Biomarkers of Dementia

AIMIN2019 – AI Challenge Core Group

Kaveh Daneshmand Post-MBA in Business

Intelligence, Industrial Management

Institute

Ramin Nateghi PhD Candidate

Telecommunication Engineering (Biomedical

Image Processing), Shiraz University of

Technology

Mohsen Yazdinejad, PhD Student

Artificial Intelligence Group, University of Isfahan

Clinical Radiology Lead Mansoor Fatehi

Radiologist Interpretation Abbas Arjmand Shabestari Farzaneh Fattahi Masrour

Sepehr Haghighi IBMB Team

Fattane Pourakpour Bahaare Siahloo

Modern Trends in Neuroimaging Workshop

Course Director

Mahyar Mohammadifard, MD Associate Professor & Chief of Department of Radiology, Birjand University of Medical Sciences, Birjand

Faculty (Alphabetically Ordered)

Amin Abolhasani Foroughi, MD Associate Professor of Radiology and Interventional Radiology Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz

Leila Aghaghazvini, MD Associate Professor of Radiology , Tehran university of Medical Sciences , Tehran

Abtin Aryan, MD Ex-associate Professor of Radiology Zahedan University of Medical Science Consultant Radiologist, Tehran

Fariborz Faeghi, PhD Associate Professor of Medical Imaging, Clinical Medical Physicist Shahid Beheshti University of Medical Sciences, Tehran

Mansoor Fatehi, MD, CIIP Chair, Department of Imaging Informatics, Virtual University of Medical Sciences, Tehran

Hossein Ghanaati, MD Professor of Radiology, Director of Neuro-interventional Radiology Fellowship Program Tehran University of Medical Sciences, Tehran

Sepehr Haghighi, MD Consultant Radiologist, Children’s Medical Center, Tehran University of Medical Sciences, Tehran

Jalal Jalal Shokouhi, MD President of Iranian Society of Radiology, Tehran

Mohammad Ali Kazemi, MD Assistant Professor of Radiology, Tehran University of Medical Sciences, Tehran

Mahrooz Malek, MD Associate Professor of Radiology, Tehran University of Medical Science, Tehran

Ali Norouzi, MD Department of Radiology, Alzahra Hospital, Isfahan University of Medical Sciences , Isfahan

Navid Sarmast Alizadeh, MSc SIEMENS CT & Syngo Via Applications Specialist, Tehran

Ramin Pourghorban, MD, EBIR Department of Radiology, Sina Hospital, Tehran University of Medical Sciences, Tehran

DAY 1 – Nov 2, 2019 Venue: NBML

Basics of Neuroimaging

08:30 Imaging Anatomy of Brain & Spine Hamed Hanif

09:00 Overview of MR & CT Protocols in Neuroimaging Navid Sarmast Alizadeh

09:30 Structured Reporting in Neuroradiology Mansoor Fatehi

Head Trauma

10:30 Neuroimaging of Craniocerebral Trauma Mahyar Mohammadifard

11:00 Neuroimaging of Abusive Trauma Mahyar Mohammadifard

11:30 Neuroimaging Referral Guidelines Mansoor Fatehi

Vascular Disorders

13:00 Imaging of Stroke Amin Abolhasani Foroughi

13:30 Pediatric Stroke Update Amin Abolhasani Foroughi

14:00 Stroke Mimics Mohammad Ali Kazemi

Neurodegenerative Disorders

15:00 Imaging of Retro-cochlear Masses Jalal Jalal Shokouhi

15:30 Imaging of MS and MS Mimics Amin Foroughi

16:00 CNS Infections – New Thoughts Mohammad Ali Kazemi

DAY 2 – Nov 4, 2019 Venue: NBML

Neurointervention

08:30 Cerebral Aneurysms: Concepts and Controversies Hossein Ghanaati

09:00 Vascular Malformations of the Brain Hossein Ghanaati

09:30 Endovascular Stroke Therapy Ramin Pourghorban

Brain Tumors

10:30 Imaging of Benign & Malignant Tumors Ali Norouzi

11:00 Brain Tumor Post-therapeutic Imaging Ali Norouzi

11:30 Pediatric Brain Tumors Sepehr Haghighi

Spine Disorders

13:00 Imaging of Spine Tumors Abtin Aryan

13:30 Spinal and Spinal Cord Trauma Leila Aghaghazvini

14:00 Imaging of Myelitis and Myelopathies Abtin Aryan

Pediatric Brain Imaging

15:00 Imaging of Brain Anomalies Jalal Jalal Shokouhi

15:30 Fetal Neuro-MRI: Technique, Developmental Features, and Pitfalls Mahrooz Malek

16:00 Basics of fMRI Fariborz Faeghi

AIMIN2019 Executive Committee

Hossein Ghadiri (Chairman) Jalal Jalal Shokouhi

Hadi Farahmand Zahra Ghadiri

Fattane Pourakpour Bahaare Siahloo

Zeinab Khodakarami Mohammad Ghorbani

Abdollah Mohammadian Mahak Osouli Mohsen Dadjo

Hasan Aghatayeb Mohsen Shamsa

Mehdi Faraji Raheleh Alipour Farnaz Misaghi Shima Golbarg

Mohammadreza Ataie Mahdiye Hashemi

Kaveh Daneshmand

AIMIN2019 Sponsors

Tehran University of

Medical Sciences Virtual University of

Medical Sciences

the first national conference on artificial intelligence · hamid soltanian-zadeh, university of...

Documents