Back to Meetings Thu 18 Jun 2020 Sat 20 Jun 2020 SocietyChampalimaud Foundation, Lisbon, Portugal
The Wizardry of AI and Machine Learning in Cancer Imaging
Champalimaud Foundation, Lisbon. 18th to 20th June 2020
Message on behalf of Dr. Celso Matos and Prof. Dow-Mu Koh.
Due to the COVOD-19 pandemic and resulting global lockdown, 'The Wizardry of Artificial Intelligence 2.0: AI and Machine Learning in Cancer Imaging' meeting planned for June will be postponed. This course has demonstrated huge demand so it is absolutely our focus to deliver it in the spring/summer of 2021.
As this situation is continually unfolding, we are cautious about announcing new dates until we have a better idea of the future European event landscape. Many thanks for your understanding, and please bear with us. We wish you and your families the very best.
This is a follow-up meeting after our highly successful event in 2019 attended by over 400 delegates from over 30 countries. The aim of this meeting is to promote better understanding and application of AI and machine learning in cancer imaging; and provide a multidisciplinary forum for radiologists, technicians/ radiographers, scientists and industrial partners to discuss and interact. The meeting is organised jointly by the Champalimaud Foundation and the International Cancer Imaging Society.
This meeting highlights real-world translation in the development of infrastructure/ ecosystem/ data pipeline; as well as illustrative use-cases emerging from clinical needs. Controversies and advances in AI and machine learning approaches? will be presented and discussed. A industrial forum provides the opportunity to hear from scan manufacturer, data science companies, health organisations to understand the development and obtaining regulatory approval of tools for clinical benefit. The content will be a delivered by a panel of invited international expert faculty.
For the 2020 meeting, we will be soliciting scientific abstracts for a scientific session. In addition, we will also invite the submission of fresh ideas for an incubator session, for which the experts will be able to provide feedback and mentoring. The dateline for abstract submission is 3rd April 2020.
There will be two hands-on workshops targeted towards radiologists, who will be able to learn first-hand the concepts and application of AI and machine learning; as well as understand how to establish and use a radiomics pipeline.
This is a commercial-free meeting that is free to attend, in line with the educational mission of the International Cancer Imaging Society and the Champalimaud Foundation.
Who should attend?
Radiologists, technicians/ radiographers, scientists, industrial partners and all who are interest in the growth and development of AI and machine learning in cancer imaging.
What are the learning objectives?
1) To understand the real world translation of how imaging departments can prepare for AI
2) To review key AI and machine techniques for cancer imaging
3) To learn advances and controversies in AI and machine learning
4) To understand the perspectives from industry and health policy makers
5) To learn from exemplars of clinical use cases and lessons learnt in their development
Venue: Champalimaud Centre for the Unknown Av. de Brasília, 1400-038, Lisboa, Portugal
Date: Thursday 18th to Saturday 20th June 2020
Registration dates: Until 16 June Free Registration
Official Language: English. No translation system available.
Travel and accommodation:Travel and hotel arrangements are the responsibility of the participants.
Celso Matos, Dow-Mu Koh, Fred Prior, Nickolas Papanikolaou, Andrea Rockall, Seong Ki Mun, Luis Martí-Bonmatí, Evis Sala
On behalf of the Champalimaud Foundation and the International Cancer Imaging Society, we would like to invite you to attend this special focus multidisciplinary meeting on the development and application of artificial intelligence (AI) and machine learning (ML) in Cancer Imaging.
AI and ML are set to have a deep impact on how radiologists, as well as clinicians, may work in the future. However, there has been limited opportunities for imagers, scientists, clinicians and industrial partners to interact, so as to understand clinical needs, to identify common goals and to prioritise developments.
This meeting will bring together specialists in oncology, cancer imaging, AI and ML, as well as industry members to present and discuss these issues. We welcome your participation in our program and look forward to see you in Lisbon!
Celso Matos, Dow-Mu Koh and Fred Prior
On behalf of the organising committee*
This is a complimentary meeting.
HOW TO REGISTER
Online: Click here to register.
Please direct any questions to email@example.com
The closest international airport is Lisbon Airport. Please click here for Lisbon airport.
From Lisbon to the Champalimaud Foundation, Centre of the Unknown in Algés:
Train - Linha de Cascais (Yellow Line)
Trolley - 15 (Praça da Figueira -> Algés)
Bus - 28 (Up until Belem)
From Algés to Champalimaud Foundation, Centre of the Unknown:
Walk - 5 minute walk from the Algés train station. Pass through the station underneath the train tracks to the river side before walking back toward Lisbon.
Bus - From the Bus terminal at the Algés station, the #98 bus goes directly to the Centre every ~25 minutes.
Hotels close to the venue
Altis Belém *****
Doca do Bom Sucesso
(T) +351 210 400 200
GPS: 38° 41' 37.0458",-9° 12' 39.078”
Reservas (T): +351 210 400 200
Reservas (Email): firstname.lastname@example.org
Palácio do Governador *****
R. Bartolomeu Dias 117,
(T) +351 212 467 800
Hotel Vila Galé Collection Palácio dos Arcos *****
Largo Conde das Alcáçovas, 2770-031 Paço de Arcos, Portugal
(T) +351 21 049 32 00
(F) +351 21 049 32 50
GPS: N38°41'44.91", W-9°17’22.78"
Hotel Pestana Palace *****
Rua Jau, 54, 1300-314, Lisboa, Portugal
(T) +351 21 040 17 11
(F) +351 21 361 5601
GPS: Lat 38.7041 Long 9.186933
Hotel Vila Galé Ópera ****
Travessa Conde da Ponte
1330-141 Lisboa, Portugal
(T) +351 213 605 400
(F) +351 213 605 450
GPS: N38º 42’ 00.37’ - W 9º 10’ 50.60’
Altis Prime ****
Rua Rodrigo da Fonseca, 4, 1250-191 Lisboa, Portugal
(T) +351 210 456 000
(F) +351 210 456 650
GPS: Lat. 38º 43’ 13’’ N Long. 9º 9’ 2’’ W
Holiday Inn Express Lisbon - Alfragide
Rua da Quinta do Paizinho, nº 11
(T) +251 214 009 200
Pousada de Lisboa, Small Luxury Hotels
Praça do Comércio, 31-34
(T) +351 210 40 76 40
Altis Avenida Hotel *****
Rua 1º Dezembro, 120, 1200-360 Lisboa, Portugal
(T) +351 210 440 000
(F) +351 210 440 199
GPS: Lat. 38º 42’ 54’’ N Long. 9º 8’ 27’’ W
Altis Grand Hotel *****
Rua Castilho, 11, 1269-072 Lisboa, Portugal
(T) +351 213 106 000
(F) +351 213 106 061
GPS: Lat. 38 43' 15.96" N / Long. 9 09' 00.95” W
Vila Galé Sintra Resort Hotel, Conference and Revival SPA *****
Rua Fonte da Granja, nº 30
(T) 210 520 000
Tivoli Avenida Liberdade Lisboa *****
Av. da Liberdade, 185 1269-050 Lisboa, Portugal
(F) +351 21 319 89 50
Tivoli Oriente Lisboa Hotel****
Av. D. João II, n.º 27
Parque das Nações
1990-083 Lisboa, Portugal
(T) +351 218 915 100
Avani Avenida Liberdade Lisbon ****
Rua Júlio César Machado, 7/9, 1250-135 Lisboa, Portugal
(T) + 351 21 359 1000
Four seasons Hotel Ritz Lisbon *****
R. Rodrigo da Fonseca 88, 1099-039 Lisboa
(T) +351 21 381 14 00
Pestana CR7 Lisbon****
Rua do Comércio 54
(T) +351 218 442 001
Rua Diário de Notícias, 142
(T) +351 211 160 200
Rua Rodrigo da Fonseca, nº 2
(T) +351 210 405 400
Corpo Santo Hotel *****
Largo do Corpo Santo 25, Lisboa 1200-129
(T) +351 218 288 000
Hotel Dom Pedro Lisboa*****
Av. Eng. Duarte Pacheco, 24
1070-110 Lisboa - Portugal
(T) +351 213 896 600
(T) +351 213 896 606
GPS: 38º43' 28.7544'' N / -9º 9' 37.0512'' W
EPIC SANA Lisboa Hotel *****
Av. Engenheiro Duarte Pacheco 15, 1070-100 Lisboa, Portugal
(T) +351 211 597 307
(M) + 351 938 826 266
Mercy Hotel *****
Rua da Misericórdia, 76, 1200-132 Lisboa, Portugal
(T) +351 21 248 14 80
(F) +351 21 248 14 89
Sheraton Lisboa Hotel & Spa *****
Rua Latino Coelho, 1, 1069-025 Lisboa, Portugal
(T) +351 21 312 00 00
(F) +351 21 354 71 64
DoubleTree by Hilton Lisbon - Fontana Park ****
Rua Engenheiro Vieira da Silva, n.º 2, 1050-105 Lisboa, Portugal
(T) +351 21 041 06 00
(F) +351 21 357 92 44
Lisboa Carmo Hotel ****
Rua da Oliveira ao Carmo, nº 1-3
(T) +351 213 264 710
GPS: 38.713545, -9.139901
Holiday Inn Express Lisbon - Av. Liberdade
Rua Alexandre Herculano No. 40
Lisboa 1250-011, Portugal
(T) +351 218290402
email: hielisboncity@ newpalm . pt
Hotel Alif Campo Pequeno 3*
Campo Pequeno, 51, 1000-081 Lisboa
(T) +351 217 826 210 / +351 217 826 222
Hotel Sana Executive 3*
Av. Conde de Valbom, 56
1050-069 Lisboa Portugal
(T) +351 217 951 157
Old Part of the City Centre
Hotel A.S Lisboa 3*
Avenida Almirante Reis, 188
(T) +351 21 842 93 60
Historical Centre (Downtown)
My Story Hotel Rossio 3* (New)
Praça D. Pedro IV - 59
(T) +351 213 400 380
My Story Hotel Ouro 3* (New)
Rua Áurea, 100
(T) +351 21 340 0 340
My Story Hotel Tejo 3* (New)
Rua dos Condes de Monsanto, 2
(T) +351 218 866 182
Who are the faculty members?
The meeting will be delivered by an invited faculty drawn from Fellows of the International Cancer Imaging Society, the Champalimaud Foundation and other internationally acknowledged experts. The full programme is being finalised.
CPD points awarded by the Royal College of Radiologists – delegates will receive 12 credits in total for attendance on 18th and 19th June.
Day 1: 6 credits
Day 2: 6 credits Attendees of Radiomics workshops, on day 3 3.5 credits.
Accreditation from the European Accreditation Council for Continuing Medical Education (EACCME) will be applied for, and made available to all attendees of this course.
American delegates can have their EACCME European CME Credits converted to AMA PRA Category 1 Credit™ by applying to the AMA. Download the 1 page from here:- https://www.ama-assn.org/sites/default/files/media-browser/public/cme/eaccme-application.pdf
Send the completed form to the AMA together with the EACCME certificate* and the non-refundable processing fee (AMA members $30 and non AMA members $75). AMA certificates will be emailed within 3 business weeks.
Please visit this link for further information https://www.ama-assn.org/education/uemseaccme-cme-credit-recognition
Abstracts that do not adhere to the following important points will be rejected:
• The title should not exceed 15 words.
• The abstract should not exceed 500 words for Scientific sessions and 600 words for incubator sessions.
• Please use authors’ initials and surnames only.
• Please provide the Institute and country for each co-author
• Qualifications should be omitted. Do not include references, tables or figures.
• Please do not use block capitals.
You may choose from two different abstract categories:
1. Scientific session abstract
Scientific abstracts should present new research on any aspects of AI and machine learning related to cancer imaging. The abstract should be no longer than 500 words and should be organised into following sections: Aim, Materials and Methods, Results, Discussion, Conclusions. You can include up to two embedded images within your abstract.
2. Incubator session abstract
The incubator session aims to provide presenters with a forum to present new ideas to experts. The expert panel will provide constructive feedback to the presenters, and ideas on how to improve the project.
The abstract in this session should be no longer than 600 words and should be organised into the following sections: Background, Proposed use-case, Methodology, Expected outputs, Discussion. You can also include up to two embedded figures.
The best project presented in the incubator session will be invited to the Faculty Dinner, with the opportunity to network with the Faculty members, as well as mentoring for further development of the project if desired.
Other things to note:
Abstracts should not include promissory notes such as “We will provide additional data during our presentation.”
Submission deadline: 3rd April 2020