Bioengineering Special Issue “New Sight of Deep Learning in Bioengineering: Updates and Future Directions (2nd Edition).

Dear Computer Vision and Machine Learning Community,


We are excited to announce the 2nd Edition of the special issue of Bioengineering (JCR – Q2, impact Factor: 3.8, CiteScore: 4.0, Indexed in PubMed). Please find the details below. Contributions are warmly welcomed.


Special Issue

New Sight of Deep Learning in Bioengineering: Updates and Future Directions (2nd Edition)

https://www.mdpi.com/journal/bioengineering/special_issues/1Q9I392A0I


This Special Issue is the second edition of the previous release, ‘New Sight of Deep Learning in Bioengineering: Updates and Future Directions’ (https://www.mdpi.com/journal/bioengineering/special_issues/B84S454C55). It aims to explore the transformative impact of deep learning techniques within the field of bioengineering. It serves as a comprehensive collection of recent advancements, innovative applications, and future prospects for deep learning methodologies in various bioengineering domains. It includes, but is not limited to, the following fields:

– Deep learning algorithms

– Applications in biomedical imaging

– Genomics and personalized medicine

– Bioinformatics and data analysis

– Robotics and biomechanics


This Special Issue seeks to foster dialog among researchers, practitioners, and policymakers to advance the integration of deep learning in bioengineering, ultimately aiming to enhance patient care and biomedical research outcomes.


Deadline for manuscript submissions:

31 August 2025


Guest Editor

Dr. Tao Zhang

School for Engineering of Matter, Transport and Energy, 

Ira A. Fulton Schools of Engineering, 

Arizona State University, Tempe, AZ 85281, USA

EXTENDED ABSTRACTS – 3rd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS)

3nd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS) 
in conjunction with the
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025 (https://wacv2025.thecvf.com/)
WORKSHOP WEBSITE 

TOPICS
We invite submissions to our WACV 2025 workshop on computer vision in winter and mountain sports, including disciplines like skiing, bobsleigh, climbing, and downhill biking. These sports capture massive viewership and participation globally, yet pose unique challenges for computer vision due to fast motion, harsh environments, and real-time processing demands.
Our workshop aims to advance visual analysis and enhance spectator experiences through cutting-edge research. Topics of interest include athlete pose estimation, performance analysis, injury prevention, augmented reality for fan engagement, and robust methods for challenging weather conditions. We welcome contributions on algorithmic approaches, fusion of visual data with other sensors, and new datasets/benchmarks in these domains.

Research papers are solicited in, but not limited to, the following topic areas:
  • Machine learning solutions for video understanding or activity recognition regarding winter and mountain sports
  • Pose estimation of athletes
  • Evaluation and measurement of athlete performance
  • Performance forecasting
  • Detection/evaluation/prevention of injuries in winter sports with computer vision
  • Crowd and spectators monitoring
  • Augmented/virtual reality for winter sports and fan engagement
  • Applications of computer vision/AI to winter sports (skiing, ice-hockey, ice-skating, biathlon, bobsleigh, luge, curling, etc.)
  • Image/video understanding in winter/harsh weather conditions
  • Camera pose estimation in broadcast videos
  • Video-based trajectory reconstruction and analysis
  • Winter scene reconstruction from images/videos
  • Snow/ice measurements and analysis with computer vision
  • Real-time processing algorithms
  • Fusion of image/video data and other sensor data
  • Datasets, benchmarks and annotations of winter sport data

SUBMISSIONS
There are two submission tracks: FULL PAPERS and EXTENDED ABSTRACTS.

Full paper submissions should propose comprehensive and well-validated solutions, and adhere to the guidelines of standard WACV 2025 submissions (max 8 pages + references). Accepted full papers will be published under the WACV 2025 workshop proceedings and included in IEEE Xplore.

Extended abstracts should be max 4 pages in length (including tables, figures and references) and can describe novel but not extensively validated ideas, ongoing works, or be recaps of recently published papers (either journal or conference). The accepted abstracts will be published under an arXiv compendium.

All submissions should be compiled for double-blind review, adopt the standard WACV 2025 template (Overleaf templateZIP Archive), and be submitted via the workshop's CMT platform:

We plan to invite a selection of authors, along with a summary paper featuring submissions to the SkiTB challenge, to contribute to a special issue in a prestigious journal. This special issue will encompass broader topics in sports science and technology.
THE SKITB CHALLENGE
The team at the University of Udine has recently unveiled SkiTB, a large dataset for computer vision research in skiing. For the workshop, such a dataset will be exploited to organize a visual tracking challenge through a dedicated research competition platform (e.g. CodaLab).
 Challenge participants will be required to submit a report presenting their solution. A collection of the best reports will be included in a future special issue. 
The best performing teams will be invited to present their solutions to the workshop's attendees. 
  • Opening challenge date: 01 December 2024
  • Deadline for submissions: 31 January 2025
  • Technical report submission: 07 February 2025

Challenge page:
IMPORTANT DATES
Important dates for full paper submissions:
  • 22 November 2024, 2022 23:59 PST: full paper submission due
  • 30 November 2024, 2022 23:59 PST: full paper submission due
  • December 18, 2024: notification to authors of full paper submissions
  • January 10, 2025 23:59 PST: full paper camera-ready papers due
Important dates for extended abstract submissions:
  • December 20, 2024 23:59 PST: extended abstract due
  • January 10, 2025: notification to authors of extended abstract submissions
  • January 31, 2025 23:59 PST: extended abstract camera-ready papers due 
Workshop date:
  • February 28 or March 3 or 4, 2025

ORGANIZERS
Dr. Niccolò Bisagno, University of Trento, Italy
Dr. Matteo Dunnhofer, University of Udine, Italy
Dr. Katja Ludwig, University of Augsburg, Germany
Prof. Hideki Koike, Tokyo Institute of Technology, Japan
Prof. Christian Micheloni, University of Udine, Italy

Prof. Nicola Conci, University of Trento, Italy

IEEE 4th International Conference on Computing and Machine Intelligence

Dear Researchers and Professionals,
We are excited to announce the Call for Papers for the IEEE 4th International Conference on Computing and Machine Intelligence (ICMI 2025), to be held on April 5-6, 2025, at Central Michigan University.
This conference provides an excellent platform for researchers, academics, and industry professionals to showcase their innovative work and gain global recognition.
Why Publish at ICMI 2025?
  • Accepted papers will be published in IEEE Xplore, ensuring global visibility and access to your research.
  • Engage with experts and thought leaders in the fields of:
    • 🔍 Computer Vision and Applications
    • 🌐 Blockchain & Internet of Things
    • 🔒 Networking and Security

📅Paper Submission Deadline: December 30, 2024
✨ How to Submit?
Visit www.icmiconf.com for detailed guidelines and submission instructions. For any queries, feel free to reach us at info@icmiconf.com” target=”_blank”>info@icmiconf.com
Submit your papers today and join us in shaping the future of technology at ICMI 2025! 🚀
Warm regards, 
Shallena Akbar
Conference Secretary

25′ 25′ 25′ – A Special Milestone for DSP!

In 2025, we are hosting the 25th International Conference on Digital Signal Processing (DSP 2025), starting on the 25th of June in the stunning setting of Costa Navarino, Greece.

Paper submission deadline: 25th of February 2025!

Join us for this special occasion to explore cutting-edge advancements in DSP, AI, and multidisciplinary research.

Home  – https://2025.ic-dsp.org/
Committee – https://2025.ic-dsp.org/committees/
Venue – https://2025.ic-dsp.org/venue/

Reproducible Reports with Quarto and R Markdown – Livestream Seminar

Code Horizons presents Reproducible Reports with Quarto and R Markdown, a 3-day seminar taught by Aaron Gullickson on January 23-25. 
Quarto, the successor to the popular R Markdown system, can be used to combine narrative and code in a single dynamic document. This seminar will introduce you to the Quarto system, its basic syntax, and show you how you can use it to make fantastic-looking final products for your data analysis. 
This seminar will use R for the examples and exercises, but it will benefit Python users as well. 
This livestream seminar will be held via Zoom, but you can also join asynchronously by viewing the recorded videos of each session.

Dr. Gullickson will also be teaching Version Control for Data Analysis Using GitHub on April 24-25.


Please share this information with anyone who may be interested. Email natalie@statisticalhorizons.com with any questions.

Thanks,
Natalie

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