[visionlist] BIA 2018 – 4th Breast Image Analysis (BIA) Workshop in conjunction with MICCAI 2018

Final Call For Papers

After a hiatus of two years, we will hold the 4th edition of the Breast Image Analysis (BIA) workshop in conjunction with MICCAI 2018. The aim of BIA is to bring together the growing
number of researchers in the field given the significant amount of effort in the development of tools that can automate the analysis and synthesis of breast imaging.The main purpose of the workshop is to provide a stimulating environment for an in-depth discussion
of important recent developments among experts in the field that enables future research impact in the field. 

Proceedings published by SPRINGER under the “Lecture Notes in Computer Science†book series. 

Authors will be invited to contribute to a chapter in a book about Breast Image Analysis.

Advertisements

[visionlist] Post-doc Position: Rucker Lab, New England College of Optometry

*Updated advertisement from previous version distributed on 5/25

Dear Colleagues: 

A position is available in the Rucker lab at the New England College of Optometry in Boston for an energetic and highly-motivated post-doctoral fellow to participate in an NIH-funded project exploring the role of color in the development of myopia.   
The post-doc will be responsible for all aspects of the project including data collection and analysis, preparation and completion of scientific publications. The position also includes the opportunity to contribute towards supervision of a Masters student, and other students in our summer research training program. The successful candidate should hold a relevant Ph.D. and have a proven track record (e.g. first-author publications). The ideal candidate will have strong computational skills and a willingness to learn measuring and analysis techniques. Key activities include: computational analyses, experimental design and data analysis, dissection and preparation of animal tissues, preparation of written reports and publications, supervision of animal care.Applicants should hold an MS or PhD in Psychology, Neuroscience, Vision Science, Molecular Biology or related degree. The Myopia Research Group at NECO is a strong group of scientists covering many aspects of myopia development. We are located in the center of Boston with its plentiful scientific and cultural resources.The salary for this position is commensurate with experience as determined by NIH guidelines. The College offers a competitive benefits package. Interested candidates should submit a CV, letter of interest, and at least two letters of reference to hrdepartment@neco.edu. Please reference the position in the subject line. 

New England College of Optometry is and Equal Opportunity Employer and encourages all qualified candidates to apply. 

Sincerely, 

Human Resources Team

New England College of Optometry

424 Beacon Street

Boston, MA 02115

hrdepartment@neco.edu

http://www.neco.edu


[visionlist] Postoc Position – Myopia Research at New England College of Optometry

Dear Colleagues, A full time position is available at the New England College of Optometry in Boston for an energetic and highly-motivated post-doctoral fellow to participate in an NIH-funded project exploring the role of color in the development of myopia.   The post-doc will be responsible for all aspects of the project including data collection and analysis, preparation and completion of scientific publications. The position also includes the opportunity to contribute towards supervision of a Masters student, and other students in our summer research training program.  The successful candidate should hold a relevant Ph.D. and have a proven track record (e.g. first-author publications). The ideal candidate will have strong computational skills and a willingness to learn measuring and analysis techniques. Key activities include: systems programming, computational analyses, light and image display calibration, experimental design and data analysis, preparation of written reports and publications, supervision of animal care. 
Applicants should hold an MS or PhD in Psychology, Neuroscience, Vision Science, Computing Science/Engineering or related degree, and demonstrable experience and skills in software engineering (including MATLAB, C++ and Python).  The Myopia Research Group at NECO is a strong group of scientists covering many aspects of myopia development. We are located in the center of Boston with its plentiful scientific and cultural resources.The salary for this position is commensurate with experience as determined by NIH guidelines. The College offers a competitive benefits package. Interested candidates should submit a CV, letter of interest, and at least two letters of reference to hrdepartment@neco.edu.  Please reference the position in the subject line.  

New England College of Optometry is and Equal Opportunity Employer and encourages all qualified candidates to apply.  

Sincerely, 

Human Resources Team 

New England College of Optometry

​424 Beacon Street

Boston, MA 02115

hrdepartment@neco.edu

http://www.neco.edu

​​


[visionlist] Final CFP – DLMIA 2018 (in conjunction with MICCAI 2018)

DLMIA 2018 – 4th Workshop on Deep Learning in Medical Image Analysis (in conjunction with MICCAI 2018)

Final Call for Papers

The workshop DLMIA has become one of the most successful MICCAI satellite events, with hundreds of attendees and more than 70 paper submissions in 2017. The 4th edition of DLMIA will be dedicated to the presentation of papers focused on the design and use of deep learning methods in medical image analysis applications. We believe that this workshop is setting the trends and identifying the challenges of the use of deep learning methods in medical image analysis. Another important objective of the workshop is to continue and increase the connection between software developers, researchers and end-users from diverse fields related to Medical Image and Signal Processing, which are the main scopes of MICCAI.

The proceedings will be published by SPRINGER under the “Lecture Notes in Computer Science” book series.

Topics:

– Medical imaging-based analysis using deep learning

– Medical signal-based analysis using deep learning

– Medical image reconstruction using deep learning

– Deep learning-oriented applications in medicine

– Image description and synthesis using deep learning techniques

– Deep learning model selection in medical imaging

– Multi-modal and multi-dimensional deep learning (3D, 4D, and beyond)

– Learning with noisy labels ( eg. crowdsourcing annotations, imperfect ground truth etc.)

– Integration of clinical variables with imaging data

– Deep learning for interventional image analysis

– Benchmarking and Evaluation of deep learning in clinical settings

– Active Deep Learning for medical imaging

– Reinforcement learning and Meta-learning in Medical Image Analysis

Important Dates:

– June 11th (11:59pm PST) : DLMIA’18 paper submission deadline

– July 11th : DLMIA’18 paper notification of acceptance

– July 17th : DLMIA’18 Camera-ready version submission

– September 20th: Full day workshop

Invited Speakers:

Prof. Hayit Greenspan (Tel Aviv University)

Prof. Alison Noble (University of Oxford)

Mr. Christopher Semturs (Google Research) – Deep Learning for Retinal Imaging

Website:

https://ift.tt/2uyHozT

Organization:

Gustavo Carneiro, University of Adelaide, Australia

João Manuel R. S. Tavares, Universidade do Porto, Portugal

Andrew P. Bradley, University of Queensland, Australia

João Paulo Papa, Universidade Estadual Paulista, Brazil

Jacinto C. Nascimento, Instituto Superior Tecnico, Portugal

Vasileios Belagiannis, OSRAM, Germany

Zhi Lu, Guangdong University of Technology, China


[visionlist] PostDoc Position in ERC AdG CHANGE at CNR-IMATI, Italy Genova (DEADLINE: 31 May)

Dear All,
the Shape and Semantics Modelling Group at the Institute of Applied Math and Informatics of the Italian National Research Council (CNR IMATI) in Genova is seeking talented PostDoc researchers to work on polygonal/polyhedral mesh generation, analysis and manipulation methods to support Polyhedral Element Methods (PEM) for PDEs. The research will be targeted to the development of novel domain discretization approaches able to support multi-resolution and/or adaptive domain representations/refinements. Previous experience either in geometry processing and applied math are preferred.
The research activities will be carried out at CNR-IMATI in the context of the H2020 ERC Advanced Grant CHANGE (New CHallenges for adaptive PDE solvers: the interplay of ANalysis and GEometry), a joint research project among EPFL-MNS, the CNR-IMATI institute, RICAM and JKU-LINZ.

The competition for the PostDoc position is now open:

https://ift.tt/2K7zfG3

https://ift.tt/2JfWn3W

Deadline for applications: 31st May 2018

For any further information, contact: Michela Spagnuolo (michela.spagnuolo@ge.imati.cnr.it) and Guseppe Patane’ (patane@ge.imati.cnr.it).

Best regards,

Giuseppe

::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::GENERAL EXPERTISE and SKILLS- 3D representation methods (polygonal/solid meshes, voxels, point clouds, implicit surfaces…)- Spatial data structures (binary trees, octrees, Kd-trees…)- Libraries for geometry processing (e.g., CGAL, OpenMesh, VCG, libIGL, …)- Numerical solvers (e.g., Eigen, Gurobi, GMM, Mosek, IPOPT, CHOLMOD, Paradiso…)- Proficiency in English (mandatory)::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::

SPECIFIC EXPERTISE- PhD in Computer Graphics / Engineering / Applied math- Good publication record (EG/SGP/TOG/CAD/TVCG are best)- Basic knowledge of FEM (preferable)- Basic knowledge of IGA (preferable)


[visionlist] 2 Postdoc positions in PAVIS on automatic visual inspection – [ Postdoc ] BC 75378 – 75379

2 Postdoc positions in PAVIS on automatic visual inspection – [ Postdoc ]

Workplace: Genova, IIT, Italy
Added on: 23/05/2018 – Expires on 20/06/2018

The Pattern Analysis and Computer Vision (PAVIS) Research Line at IIT is looking for highly qualified candidates with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other
related areas (e.g., recognition, video analysis, etc.).
The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other
IIT Research Lines providing scientists in Neuroscience, Nanophysics and other IIT Lines with ad-hoc solutions.

To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively
and in cooperation with external private and public partners.
This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a novel system that can inspect industrial parts
in extreme environments. The system has to detect damages, like cracks and fissures, over the components of a large structure using different sensor modalities. This implies the development of novel algorithms for defect detection, classification and quality
control that discriminate explicitly the photometric and physical attributes of each part. In particular, this new inspection problem will require the study of different types of features as well as robust and effective methodologies for detection and classification.
In this context, experience and expertise in deep learning models is valuable and will be duly considered.
This project will be managed in collaboration with a major industrial partner.

Candidates for this position have a Ph.D. in Computer Vision, Pattern Recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above-specified areas in the form of published
papers in top conferences/journals and/or patents is therefore mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The winning candidate will also contribute to setting up new (funding)
project proposals and will participate in funding activities.
He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD students and collaborate with other scientists, also with different expertise.
Salary will be commensurate to qualification and experience and in line with international standards. Duration 1 year.
Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS- BC 75378 – 75379 as reference number.
Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications),  a research statement describing your previous research experience and outlining its relevance
to the above topics and names of 2 referees by email by pavis@iit.it, always quoting PAVIS-BC 75378 – 75379 as reference.

This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by June 20, 2018.
IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT’s research endeavor
focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies.

In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data.
We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 – email: dpo@iit.it).
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.


[visionlist] Cell-NERF Symposium: Neurotechnologies – Call For Abstracts

Cell NERF Symposium:
Neurotechnologies
Sept 30 – Oct 2, 2018 in Leuven, Belgium

https://ift.tt/2KSOToi

Neuro-Electronics Research Flanders (http://www.nerf.be) would like to
invite you to the Cell NERF Symposium on Neurotechnologies taking place
on Sept 30 – Oct 2, 2018 in Leuven, Belgium.

The meeting will broadly focus on neurotechnologies for research and
neuroprosthetic applications, covering advances in molecular, optical,
and electrophysiological approaches for measuring and manipulating
neural circuits.

Recent technological advances from fields as diverse as gene and protein
engineering, optics, photonics, chemistry, materials science,
nanoscience, electrophysiology, and more have helped propel forward our
understanding of the genetic, molecular, and physiological mechanisms
that contribute to the development and function of the central nervous
system. We will bring together leading experts at the forefront of
neurotechnology development to discuss the next generation of tools and
methods. They will present their latest work and share their thoughts
more broadly on how the field as a whole might tackle critical
challenges.

Abstract submission deadline: June 1,
2018

https://ift.tt/2J2oya7

Themes

    Neural recordings: imaging and electrophysiological approaches

    Prosthetics and brain-machine interfaces

    Optical manipulation of circuits and cells

    Material science and nanotechnology

    Design of new probes and sensors

    Neuromodulation

    Cell and tissue engineering

Confirmed Speakers

Anne Andrews, USA

György Buzsáki, USA

Edward Callaway, USA

Megan Carey, Portugal

Eddie Chang, USA

Tim Denison, USA

John Donoghue, Switzerland

Tim Harris, USA

Christof Koch, USA

Stephanie Lacour, Switzerland

Jin Hyung Lee, USA

Michel Maharbiz, USA

Myriam Pannetier-Lecoeur, France

Kaspar Podgorski, USA

John Rogers, USA

Simon Schultz, UK

Thomas Stieglitz, Germany

Ilaria Testa, Sweden

Tony Zador, USA

Organizers

John Donoghue, Wyss Center, Switzerland

Sebastian Haesler, Neuroelectronics Research Flanders (NERF), Belgium

Mariela Zirlinger, Editor, Neuron