Description
In recent years, deep learning has been spotlighted as the most active research field with its great success in various machine learning communities, such as image analysis, speech recognition, and natural language processing, and now its promising potential is being actively discussed in the field of biomedicine. In particular, a dramatically increasing number of deep learning-based approaches have been proposed in biomedical images and signal processing. However, relatively little application of deep learning has been made in other biomedical areas such as genomics and computational biology due to the difficulty of definition and interpretation of deep learning architecture. Moreover, there are still many challenging tasks with many open problems in deep learning that need to be solved for active use in bioinformatics, biomedicine, and healthcare informatics.
The goal of this workshop is to bring together researchers with expertise of deep learning in bioinformatics, biomedicine, and healthcare informatics and share current cutting-edge deep learning methodologies and its applications. Papers are welcome from the following topics (but not limited to):
- Protein structures
- Gene expression regulations
- Genome-wide association studies
- Protein function prediction
- DNA-protein binding site identification
- Clustering cancer subtypes
- Single-cell clustering
- Cancer diagnosis
- 3D brain reconstruction (MRI/fMRI)
- Tissue image classification/Organ segmentation
- Anomaly detection
- Human activity recognition
- Human behavior monitoring
Important Dates (Tentative)
- Full workshop paper submission due: September 26, 2026 (D11)
- Notification of paper acceptance: October 18, 2026
- Camera-ready due of accepted papers: November 8, 2026
- Workshop: TBA
*D-Day
Paper Submission
Please submit a paper (8 page IEEE 2-column format) via online BIBM paper submission system: https://wi-lab.com/cyberchair/2026/bibm26/scripts/submit.php?subarea=S07&undisplay_detail=1&wh=/cyberchair/2026/bibm26/scripts/ws_submit.php.
Papers should be formatted to IEEE Proceedings Manuscript Formatting Guidelines.
You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
Electronic submissions (in PDF or Postscript format) are required.
Submit a paper: Click here
Publication
All accepted papers will be published in the BIBM proceedings and IEEE Digital Library (Xplore).
Program
TBA
Program Chairs
- Jung Hun Oh, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, USA
E-mail: ohj@mskcc.org
- Mingon Kang, Department of Computer Science, University of Nevada, Las Vegas, USA
E-mail: mingon.kang@unlv.edu
Program Committee Members
- Dr. Sai Kosaraju, California State Polytechnic University, Pomona
- Dr. Ashis Kumer Biswas, University of Colorado Denver
- Dr. Youngsoon Kim, Gyeongsang National University
- Dr. Ananda M. Mondal, Florida International University
- Dr. Kyungtae Kang, Hanyang University
- Dr. Minsu Kim, Oak Ridge National Laboratory
Previous Workshops
- 9th DLB2H in conjunction with IEEE BIBM 2024, Virtual
- 8th DLB2H in conjunction with IEEE BIBM 2023, Virtual
- 7th DLB2H in conjunction with IEEE BIBM 2023, Virtual
- 6th DLB2H in conjunction with IEEE BIBM 2022, Virtual
- 5th DLB2H in conjunction with IEEE BIBM 2021, Virtual
- 4th DLB2H in conjunction with IEEE BIBM 2020, Virtual
- 3rd DLB2H in conjunction with IEEE BIBM 2019 in San Diego, CA, USA
- 2nd DLB2H in conjunction with IEEE BIBM 2018 in Madrid, Spain
- 1st DLB2H in conjunction with IEEE BIBM 2017 in Kansas City, MO, USA
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