News

CAMCA'S Kuang Gong Wins Young Investigator Award

October 22, 2021
CAMCA Reseacher Kuang Gong received 2021 The Bruce Hasegawa Young Investigator Medical Imaging Science Award from The Institute of Electrical and Electronics Engineers' Nuclear & Plasma Sciences Society (IEEE NPSS). Dr. Gong was given this prestigious award in recongnition of his contributions to machine learning-based PET image reconstruction, image denoising and attenuation correction, as well as advanced PET point-spread-function modeling and novel PET system design. 

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

October 4, 2021

Conventional wisdom for machine learning and especially deep learning in medical imaging says that larger and more diverse data is needed to train better AI models. However, one particularity in the medical imaging setting is that data sharing across different institutions is often complicated by strict privacy regulations and data-ownership concerns, making the collection of large-scale, diverse centralized datasets practically impossible. Therefore, methods for training on large, distributed datasets without sharing data and breaching restrictions on privacy and property, like...

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

October 1, 2021

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. We had the honor of having Professor Heike Daldrup-Link from Stanford University present the keynote talk, entitled “AI in Pediatric Oncology Imaging”.

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