CAMCA Paper Published in Nature Medicine

CAMCA paper “Federated learning for predicting clinical outcomes in patients with COVID-19” has now been published in Nature Medicine!

Last year, during the COVID19 pandemic, CAMCA researchers developed a deep learning model named CO-RISK which takes both chest X-ray images and EHR data to predict the level of supplemental oxygen a patient with COVID-19 symptoms may need 24 and 72 hours after arriving at the emergency department.

Call for Paper: Special Issue on IEEE Transactions on Medical Imaging, “Federated Learning for Medical Imaging”

CAMCA paper “Federated learning for predicting clinical outcomes in patients with COVID-19” has now been published in Nature Medicine!

Last year, during the COVID19 pandemic, CAMCA researchers developed a deep learning model named CO-RISK which takes both chest X-ray images and EHR data to predict the level of supplemental oxygen a patient with COVID-19 symptoms may need 24 and 72 hours after arriving at the emergency department.

CAMCA’s “Multimodal Learning and Fusion Across Scales for Clinical Decision Support” (ML-CDS 2021) was successfully held as a MICCAI satellite event

CAMCA’s “Multimodal Learning and Fusion Across Scales for Clinical Decision Support” was successfully held as a MICCAI satellite event this year, hosted at the MICCAI official virtual platform. We received 16 submissions with 10 papers accepted for oral presentation in the workshop, and more than 80 participants registered for the workshop.

Call for Paper: Special Issue on Frontiers in Neuroscience, “Multi-Dimensional Characterization of Neuropsychiatric Disorders”

The human nervous system itself and its extensive connection with the human body are complex. There are various representations of nervous system with diverse observation methods and multiple dimensions of metrics. Similarly, in the field of medicine, almost all clinical diagnostic protocols for neuropsychiatric diseases/disorders involve multiple dimensions of individual characteristics. With the recent development of technology, scientists have been able to develop a more comprehensive understanding of neuropsychiatric disorders from multiple scales and dimensions.

Our Group Won Second Place in ISBI’s 2020 Best Paper Award!

Our Group Won Second Place in ISBI’s 2020 Best Paper Award!

The IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation. It fosters knowledge transfer among different imaging communities and contributes to an integrative approach to biomedical imaging. ISBI is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS).

CAMCA’S Dr.Quanzheng Li is invited as Featured Speaker at World Innovation Forum 2018

The World Medical Innovation Forum is a global gathering of more than 1,000 senior health care leaders hosted by Partners HealthCare in the heart of Boston. It was established to respond to the intensifying transformation of health care and its impact on innovation. The Forum is rooted in the belief that no matter the magnitude of that change, the center of health care needs to be a shared, fundamental commitment to collaborative innovation – industry and academia working together and its ability to improve patient lives – The World Innovation Forum.

Dr.Quanzheng Li is invited as Featured Speaker at World Innovation Forum 2018

The World Medical Innovation Forum is a global gathering of more than 1,000 senior health care leaders hosted by Partners HealthCare in the heart of Boston. It was established to respond to the intensifying transformation of health care and its impact on innovation. The Forum is rooted in the belief that no matter the magnitude of that change, the center of health care needs to be a shared, fundamental commitment to collaborative innovation – industry and academia working together and its ability to improve patient lives – The World Innovation Forum.