MLHRM 2019 : Second Workshop on Machine Learning Approaches in High Resolution Microscopy Imaging

  in Conferences   Posted on June 1, 2019

Conference Information

Submission Deadline Friday 20 Sep 2019 Proceedings indexed by :
Conference Dates Nov 18, 2019 - Nov 21, 2019
Conference Address San Diego, United States
Conference & Submission Link http://www.mlhrm.net/2019
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

SECOND WORKSHOP ON MACHINE LEARNING APPROACHES

IN HIGH RESOLUTION MICROSCOPY IMAGING

MLHRM 2019

www.mlhrm.net/2019

in conjunction with

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM19)

November 18-21, 2019, San Diego, CA, USA

http://ieeebibm.org/BIBM2019/

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 second workshop aims to bring the researchers from computational and

imaging fields together to have a wider focus on the computational approaches

that learn parameters from image data while maintaining an emphasis on

the leading edge machine learning methods such as deep learning for all

computational tasks: segmentation, classification, construction, and analysis

in high resolution imaging modalities (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

– 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 instructions at

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/2019/bibm19/index.php

Important Dates:

Electronic submission of full workshop papers: Sep 20, 2019

Notification of paper acceptance to authors: Oct 15, 2019

Camera-ready version of accepted papers: Nov 1, 2019

Workshop and Conference: Nov 18-21, 2019

Workshop Chairs:

Dr. Filiz Bunyak, Department of Electrical Engineering and Computer Science, University of Missouri, USA.

Dr. Ilker Ersoy, Informatics Institute, 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.

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