May. 2026. Our paper, BECM-Net: A Multi-granularity Collaborative Framework for Semi-Supervised Fetal Ultrasound Segmentation, has been accepted in the IEEE Journal of Biomedical and Health Informatics.
This work develops a multi-granularity collaborative framework for semi-supervised fetal ultrasound segmentation, with the goal of improving performance in challenging regions with blurred or low-contrast anatomical boundaries. BECM-Net integrates pixel-level, region-level, and structure-level learning to provide more reliable supervision under limited annotation settings, and demonstrates strong performance on fetal ultrasound datasets.
We are grateful to all co-authors for their hard work and contributions to this study. Congratulations to Wei Hu, Cong Tan, Wendong Wang, Zeheng Wang, Qibing Qin, and Wenfeng Zhang on this achievement.
Apr. 2026. Our recent paper on sinoatrial node pacemaking and heart failure has been published in JACC: Clinical Electrophysiology and was highlighted by an accompanying editorial in the journal.
In this study, we combined experiments and computational analysis to show that caveolar compartmentalization is a key structural and signaling determinant of stable sinoatrial node rhythmicity, and that disruption of this organization contributes to sinus node dysfunction in heart failure. The work identifies caveolae and their associated signaling microdomains as an important component of cardiac pacemaker robustness and provides new mechanistic insight into how heart failure destabilizes normal rhythm generation.
We are especially pleased to see the paper recognized by an editorial in JACC: Clinical Electrophysiology, which underscores the broader significance of this work for cardiac electrophysiology and sinus node biology.
July 2025. Haibo joined The Journal of Physiology as an Editorial Board Fellow for the 2025–2027 term (1 July 2025 – 2027).
The Journal of Physiology is the flagship journal of The Physiological Society and one of the oldest and most respected journals in physiology, with a continuous history dating back to 1878. It publishes original research across the full breadth of physiology — from molecular and cellular mechanisms to integrative and translational systems science — and has long been a home for work in cardiac electrophysiology and computational physiology.
The Editorial Board Fellows program supports early-career researchers in gaining hands-on experience in scientific peer review and journal editing, working alongside the journal’s senior editors.
June. 2025. Haibo joined PLOS Computational Biology and PLOS Digital Health as an Academic Editor.
In this role, he handles submissions related to digital heart research, digital twins, and artificial intelligence in cardiovascular medicine and computational physiology. These areas are becoming increasingly important for connecting mechanistic modeling, data-driven methods, and clinically relevant applications across scales.
PLOS Computational Biology is a leading journal for research that uses computational approaches to advance understanding of living systems, spanning methodology, theory, and biological discovery across scales. PLOS Digital Health focuses on the development, evaluation, and real-world impact of digital technologies in medicine and public health, including artificial intelligence, digital diagnostics, and computational tools that improve patient care.
This editorial role reflects the growing impact of computational and AI-enabled approaches in cardiovascular science and medicine, and supports engagement with emerging work at the interface of modeling, computation, and digital health.