2nd International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics

Added by astrych on 2024-02-29

Conference Dates:

Start Date Start Date: 2024-06-04
Last Date Last Day: 2024-06-07
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2024-04-23

Conference Contact Info:

Contact Person Contact Person: Konrad Klimaszewski
Email Email: [email protected]
Address Address: Wspólna 56, 00-686 Warsaw, Warsaw, Poland

Conference Description:

We cordially invite you to the 2nd International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics, which will take place in Warsaw (Poland) from 04 to 07 June 2024. The workshop is organized by the National Centre for Nuclear Research in cooperation with scientists from the University of Vienna, Jagiellonian University and the Polish National Competence Centre in HPC Phase 2 (EuroCC2).

The first edition of the conference WMLQ2022 proved to be a very successful platform that fostered multiple fruitful interdisciplinary discussions and collaborations. Many times similar techniques and tools are used to solve a variety of problems. The transfer of methods between disciplines is highly needed and it has repeatedly proved to be a very fruitful approach. This workshop aims to facilitate such transfers of knowledge by bringing together experts from various institutions and research groups in the fields of medical imaging, radiotherapy, physics, and computer science. The workshop serves as a platform to enable research at the edge of various disciplines.

List of topics:

machine learning methods in medical applications,
machine learning methods in high-energy physics and astrophysics,
quantum machine learning,
Generative Adversarial Networks and Diffusion models for fast simulations both in medicine and particle physics,
quantum simulations,
quantum and quantum-inspired computing algorithms,
novel methods in medical imaging,
High-Performance Computing (HPC) in physics and medicine, in particular on heterogeneous platforms such as FPGA and GPU.
Training hands-on sessions will be held during the workshop.
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