MICAD2021 will be held during 25-26 March 2021 in Birmingham, UK. MICAD is an annual conference which aims to provide a communication platform for top scholars, engineers, scientists, as well as graduate students to share ideas and discuss the latest technology in medical imaging and computer-aided diagnosis or related fields such as artificial intelligence and machine learning, to encourage growth, raising the profile of this multidisciplinary field with an ever increasing real world applicability. The MICAD2020 has been held successfully during 20-21 January 2020 in Oxford, UK. The proceeding of MICAD2020 is going to be published with Springer in their "Lecture Notes in Electrical Engineering (LNEE)" (ISSN: 1876-1100), and submitted to the ISI Proceedings, EI-Compendex, SCOPUS, MetaPress, Web of Science and Springerlink for indexing.

Proceedings

Accepted papers will be included into MICAD2021 Conference Proceedings which will be published and submitted to online database. Those papers will be submitted for indexing to EI-Compendex, WoS and Scopus.

Submission

Please choose one way to submit your contributions.

CMT: https://cmt3.research.microsoft.com/MICAD2021

Email: cfp@micad.org

Topics

MICAD welcomes author submission of papers concerning any branch of the Medical Imaging and Computer-aided Diagnosis, and their applications other subjects.

Medical Imaging

Optical and Photo-acoustic Imaging

Image Analysis and Signal Processing

Shape Representation and Analysis

Image Reconstruction

Imaging and Genomics

Image Guided Surgery

Image-Guided Interventions and Surgery

Image Registration and Fusion

Image Acquisition Methods and Devices

Computational Physiology

Data Visualization

Statistical and Mathematical Models

Radiography

Magnetic Resonance Imaging (MRI)

Nuclear medicine

Positron emission tomography (PET)

Ultrasonography

Computed tomography (CT)

Neuroimaging

Cardiac imaging

Molecular Imaging

Pathology imaging

High-resolution computed tomography

Computational Anatomy and Physiology

Applications of Big Data in Imaging

Visualisation in Biomedical Imaging

Interventional Imaging Systems

Interventional Tracking and Navigation

RFID Solutions for Healthcare

 

Computer Aided Diagnosis

Segmentation

Pattern recognition

Feature extraction

Classifier design

Machine learning including deep learning

Radiomics

CAD workstation design

Human-computer interaction

Augmented and Virtual Reality

Databases, and performance evaluation

Medical Robotics and Haptics

Surgical Visualization

Image-Guided Interventions and Surgery

Machine Learning and Artificial Intelligence

Cloud Computing and Big Data for Healthcare

Others about Photonics

Contact

Email: cfp@micad.org