Digital Anatomy: Applications of Virtual, Mixed and Augmented Reality
New book brings together 2 INESC-ID researchers: Joaquim Jorge and Daniel Lopes and other specialists in a unique interdisciplinary work
The first book on digital anatomy, written in close cooperation between doctors, anatomists, and computer scientists, addresses Extended Reality applied to Clinical and Surgical Practice through Training and Teaching.
The book just published by Springer / Nature’s prestigious series of books “Human-Computer Interaction Studies”, edited by two INESC-ID/Tecnico Professors, Joaquim Jorge and Daniel Lopes of Department of Computer Engineering and INESC-ID / Lisbon, in collaboration with Professors Jean-François Uhl of the University Paris-Descartes and Pedro Campos (University of Madeira). The book clarifies the classic approaches with VR, AR, and MR; It presents recent VR, AR, MR systems, techniques, and methods for digital anatomy.
This book offers readers new insights into extended reality to digital anatomy, a new emerging discipline. The way teachers teach anatomy in the classroom is changing rapidly as new technology-based approaches become increasingly accessible. Recent studies show that Virtual (VR), Augmented (AR), and Mixed-Reality (MR) can improve retention andlearning outcomes.
“The book is aimed at the scientific, academic and professional research community. It can be used as a textbook, “survey” on the state of the art and seed for new research projects”, says Joaquim Jorge, one of the authors and researcher at INESC-ID.
Readers will find relevant tutorials on three-dimensional reconstruction techniques to perform virtual dissections. Several chapters serve as practical manuals for students and trainers in anatomy to update or develop their digital anatomy skills. We developed this book as a support tool for collaborative efforts around Digital Anatomy, especially in international and interdisciplinary distance-learning contexts. Our goal is to leverage the source material in this book to support new digital anatomy courses and programs in interdepartmental and interdisciplinary collaborations.
A work carried out by several hands that resulted in an unusual book that brings together specialists in Anatomy, Informatics and Medicine.
“The idea came from a collaboration with my colleague Jean-François Uhl that I had the opportunity to meet at a congress organized in Lisbon”, says Joaquim Jorge. “Me and my colleague Jean-françois Uhl were instrumental in exercising the network of contacts that each one of us has in their respective fields and collecting chapters. Daniel Lopes and Pedro Campos helped to recruit reviews and in the process of writing and editing some chapters ”, adds the researcher.
Joaquim Jorge also tells us how the idea for this book was born:
“This book came from an idea of mine. I organized the proposal given the experience of writing and editing books for Springer / Nature (it is already the 4th). The proposal was drawn up in 2018 and accepted in 2019. In 2019/2020 we have collected chapters around the world and 2020/2021 were spent on reviewing and reviewing chapters (where Daniel and Pedro Campos helped a lot). The book came out after a seven-month marathon (I planned to finish it on my sabbatical, but the pandemic delayed the process”.
The book was just launched and more information can be found at https://www.springer.com/gp/book/9783030619046
“I am very happy with the range of knowledge, skills and approaches that we have gathered in this book, with contributions of great technical level and thematic diversity, which I hope will stimulate / catalyze new lines of research and teaching”, pointed out Joaquim Jorge
11th Lisbon Machine Learning Summer School
LxMLS 2021 will take place July 7th to July 15th in online format (via zoom and slack). It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Unbabel and Cleverly.
Click here for information about past editions (LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020) and to watch the videos of the lectures (2016, 2017, 2018, 2020).
Call for Participation
* Application Deadline: May 15, 2021
* Decision: June 1, 2021
* Early Registration: June 15 – July 1, 2021
* Summer School: July 7 – 15, 2021
Topics and Intended Audience
The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.
Our target audience is:
- Researchers and graduate students in the fields of NLP and Computational Linguistics;
- Computer scientists who have interests in statistics and machine learning;
- Industry practitioners who desire a more in depth understanding of these subjects.
Features of LxMLS:
- No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming
- Lecturers are leading researchers in machine learning and natural language processing (see speakers)
- Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule)
- The Labs guide will be provided one month in advance. Last year’s guide can be found here
- A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises
- Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning, reinforcement learning) will be covered
Due to the current COVID-19 pandemic, the 11th Lisbon Machine Learning School will be held online (via zoom and slack). Similar to last year, we are excited for the opportunity to create a virtual school, where you will be able to attend all the lectures, and participate in the Q&As and labs remotely. We will also provide the tools for students to engage with each other remotely. The lectures will also be streamed to YouTube, and will become freely available later in our YouTube channel. The Q&A, labs and social activities will remain restricted to the accepted students only.
List of Confirmed Speakers
LUIS PEDRO COELHO Fudan University | China
MÁRIO FIGUEIREDO Instituto de Telecomunicações & Instituto Superior Técnico | Portugal
ANDRE MARTINS Instituto de Telecomunicações & Unbabel | Portugal
IRYNA GULEYVICH Technical University Darmstat | Germany
NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA
SLAV PETROV Google Inc. | USA
XAVIER CARRERAS dMetrics | USA
GRAHAM NEUBIG Carnegie Mellon University | USA
BHIKSHA RAJ Carnegie Mellon University | USA
CHRIS DYER Google Deep Mind | UK
ELIAS BARENBOIM Columbia University | USA
ADELE RIBEIRO Columbia University | USA
STEFAN RIEZLER Institut für Computerlinguistik, Universität Heidelberg | Germany
BARBARA PLANK IT University of Copenhagen | Denmark
SASHA RUSH Cornell Tech | USA
Please visit the webpage for up to date information: http://lxmls.it.pt/2021
To apply, please fill the form in https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/
Any questions should be directed to: firstname.lastname@example.org.
OLISSIPO – Inaugural Workshop on Computational Cell Biology
OLISSIPO is pleased to host the project Inaugural Workshop on Computational Cell Biology, which will be held virtually on July 20th, 2021 just before ISMB/ECCB 2021.
OLISSIPO – Inaugural Workshop on Computational Cell Biology
20th July 2021 | ONLINE WORKSHOP
14:00-18:00 (CEST) / 13:00-17:00 (WEST – Lisbon)
14:10 Prof. Dr. Rolf Backofen, Albert-Ludwigs-Universität Freiburg, Germany
15:00 Prof. Dr. Susan Holmes, Stanford University, USA
16:20 Prof. Dr. Dana Pe’er, Memorial Sloan Kettering Cancer Center, SKI, New York, USA
17:10 Prof. Dr. Luay K. Nakhleh, Rice University, Houston, TX, USA
18:00 Closing session
The registration is free but necessary for organizational purposes.
To receive the link for the Workshop, please register here until 16 July 2021.
More info: https://olissipo.inesc-id.pt/2021/06/07/inaugural-workshop/
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.