CALL FOR PAPERS
WORKSHOP ON MACHINE LEARNING APPROACHES IN HIGH RESOLUTION MICROSCOPY IMAGING

                             MLHRM 2018
                       (www.mlhrm.net)

In conjunction with

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM18)
Dec 3-6, 2018, Madrid, Spain
http://orienta.ugr.es/bibm2018/

             Submission deadline extended to Oct 5, 2018.

Description:
With the advent of higher resolution imaging modalities, such as electron
microscopy (Cryo-EM, FIB-SEM) and fluorescence superresolution microscopy
(SRM), scientists are able to discern subcellular structures at the molecular
level leading to discoveries in basic and translational sciences as well as
applications in drug discovery and precision medicine. Visualizing cellular,
sub-cellular, and protein structures have been recently recognized with Nobel
Prizes in Chemistry, for super-resolution fluorescence microscopy in 2014 and
for cryo-electron microscopy in 2017. SRM imaging achieves nanometer resolution
while cryo-EM allows imaging of structures in their native, frozen, hydrated
state by resolving structural details of 1.5 Angstrom. These imaging modalities
as well as many others rely on performant computational techniques to reconstruct
high resolution images in 2D and 3D for visualization and further quantitative
analysis. Advances in machine learning, particularly in deep learning, has a
great potential to contribute to high resolution reconstruction process,
particularly by improving particle detection and classification steps of
reconstruction.

This workshop aims to bring the researchers from computational and imaging fields
together to focus on the computational approaches for construction and analysis
in high resolution imaging modalities. Special emphasis will be on the applications
of deep learning and other machine learning methods in imaging modalities such as
cryo-electron microscopy, FIB-SEM tomography, and fluorescence superresolution
microscopy.
 
Topics:
Original contributions in applications of deep learning and other machine learning
methods in high resolution microscopy including but not limited to noise reduction,
detection, segmentation, classification, and reconstruction of 2D and 3D models, as
well as new approaches in 3D reconstruction of single molecules are welcome.
Contributions regarding other related modalities and automated analysis methods
such as single molecule tracking, multiphoton imaging, and combining EM with
STORM/PALM will also be considered for inclusion in the workshop program.

Noise reduction in EM modalities and SRM
Signal detection and image reconstruction in SRM
Image segmentation in EM modalities
Image classification in EM modalities and SRM
3D reconstruction methods and pipelines in cryo-EM
Characterization of single molecule structure using machine learning approaches
Applications of high resolution microscopy in precision medicine
Applications in single molecule tracking, multiphoton imaging
 
Paper Submission:
Please submit a full-length original and unpublished research contribution
(up to 6 pages in IEEE 2-column format) through the online submission system
(you can download the format instruction here
(http://www.ieee.org/conferences_events/conferences/publishing/templates.html).
Electronic submissions in PDF are required. Selected participants will be asked
to submit their revised papers in a format to be specified at the time of acceptance.
All papers will be published in conference proceedings and indexed by IEEE Xplore.
Workshop organizers may select a small number of workshop papers to be extended and
published in a journal.

Online Submission: https://wi-lab.com/cyberchair/2018/bibm18/index.php

Important Dates:
Electronic submission of full workshop papers: Oct 5, 2018
Notification of paper acceptance to authors: Oct 22, 2018
Camera-ready version of accepted papers: Nov 3, 2018
Workshop and Conference: Dec 3-6, 2018
 
Workshop Chairs:
Dr. Filiz Bunyak, Department of Electrical Engineering and Computer Science, University of Missouri, USA.
Dr. Ilker Ersoy, Informatics Institute, Department of Pathology and Anatomical Sciences, University of Missouri, USA.
Dr. Tommi White, Electron Microscopy Core, Department of Biochemistry, University of Missouri, USA.

Workshop Program Committee Members:
Dr. Joseph Brzostowski, NIAID Twinbrook Imaging Facility, National Institutes of Health, USA.
Dr. Yuejie Chi, Department of Electrical and Computer Engineering, Carnegie Mellon University, USA.
Dr. Stefan Jaeger, National Library of Medicine, National Institutes of Health, USA.
Dr. Rengarajan Pelapur, Thermo Fisher Scientific, USA.
Dr. Surya Prasath, Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, USA.
Dr. Satoshi Sawai, Research Center for Complex Systems Biology, University of Tokyo, Japan.
Dr. Mingzhai Sun, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China.
Dr. Devrim Unay, Department of Biomedical Engineering, Izmir University of Economics, Turkey.

 

=====================================================================
Ilker Ersoy, Ph.D.

Department of Pathology & Anatomical Sciences | School of Medicine | MU Informatics Institute
University of Missouri Columbia
M211 Medical Sciences Building, One Hospital Drive, Columbia, MO 65212 | [log in to unmask]

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