The 4th International Workshop on
Artificial Intelligence in Pathology (AIPath 2022)
in conjunction with
2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022)
Introduction to our AIPath workshop
The developments of artificial intelligence in pathology have gained its importance in biomedicine. In the past months, accelerations of work in applying state-of-the-art algorithms and providing rapid intelligent model prototyping for digital pathology is visible. Digital slides, as the heart of pathological analyses, are becoming parts of many recent works. However, the potential of the technology is far from being fully exploited in pathology. Except that the accuracy and generality of the algorithms and models are continuously improving, applications also need specialized well-established semantic standards and analysis methods to really meet the criteria of assisting pathologists.
Therefore, it is important to promote the computational understanding-mechanisms in pathology, which include robust image analysis and more complicated multi-modal methods. The mechanisms should also consist of data management, establishing semantic standards and medically validating the intelligent systems to guarantee the medical usability and enhance the meaningfulness. The works may greatly benefit pathologists and eventually patients, leading to accurate diagnosis and effective treatments. The knowledge from modern intelligence systems and analyses could improve the understanding of human pathology. This workshop is a forum for researchers to discuss new ideas, findings, best practices, and techniques to build up works in pathology, complementing the conventional diagnosis with uses of intelligence in digital pathology.
Research topics included in the workshop
Data acquisition for computational analysis
Data management, e.g. data infrastructure and digital standards/formatting in pathology
Image analysis in pathology, e.g. whole-slide image (WSI) and tissue microarray (TMA) analysis
Intelligent systems for cancer screening, diagnosis including subtyping, prognosis, and treatment planning
Analysis techniques enhancing pathology protocols
Medical validation of intelligent systems
Application of AI-based systems in clinical cancer practice
Semantic resources for pathology, e.g. ontologies and data dictionaries
Automated pathology report generation
Multimodal data analysis in pathology e.g. integrating radiology scans, electronic medical records, and omics data.
Quantitative histomorphometry and pathology
Important Dates
Aug, 21, 2022: Due date for full workshop papers submission
Oct 21, 2022: Notification of paper acceptance to authors
Nov 12, 2022: Camera-ready of accepted papers
Dec. 6-9, 2021: Workshops
Schedule
Submission
Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system (the link will be available soon). Please follow the format instruction.
Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
Program Chairs or co-chairs
Chen Li – Xi’an Jiaotong University, China (chair)
Tieliang Gong – Xi’an Jiaotong University, China
Ruifeng Guo – Mayo Clinic, US
Lixia Yao – Mayo Clinic, US
Program Organizing Committee
Jialun Wu – Xi’an Jiaotong University, China
Zeyu Gao – Xi’an Jiaotong University, China
Anyu Mao – Xi’an Jiaotong University, China
Program Committee Members
Guanjun Zhang – The 1st Affiliated Hospital of Xi’an Jiaotong University, China
Hui Guo – The 1st Affiliated Hospital of Xi’an Jiaotong University, China
Rui Jiang – Tsinghua University, China
Sumitra Thongprasert - Chiang Mai University, Thailand
Weiguo Zhu – Peking Union Medical College Hospital, China
Xiangrong Zhang – Xidian University, China
Xuchao Zhang – Guangdong General Hospital, China
Previous workshop
Artificalintalligence in Pathology 2020 in BIBM-2020
Artificalintalligence in Pathology 2019 in BIBM-2019