Project MONAI

MONAI is open source AI for medical applications!

REMINDER: MONAI Days Virtual Event is in 2 days! (Oct 23-24) Registration is still open for Day 2 (MIC-focused Day), featuring sessions on AI validation, non-human anatomical segmentation, geometric data support, VISTA-2D/3D and MAISI models, and multi-modal workflows. Join us to learn about the latest in MONAI: https://lnkd.in/grANCeuy #MONAI #MedicalImaging #MONAIDay #MedicalAI

MONAI Days is happening virtually on October 23-24! Join us for a focused event on Project MONAI and Holoscan SDK. This two-day event will dive into deep learning for medical imaging, AI-driven healthcare, and advancements with Project MONAI and Holoscan SDK. Day 1 (CAI) Highlights: - AI-Driven Innovations in Image-Guided Therapy - Augmented Reality in Surgery through Real-Time Edge AI - Building Endoscopy AI Applications in Holoscan SDK - Bring your existing MATLAB algorithm codebase to Holoscan - Bring Your Own Sensor: Holoscan Sensor Bridge - Hands-on Training: Build your first AI app with Holoscan SDK Day 2 (MIC) Highlights: - Proper Validation of AI in Biomedical Image Analysis - Non-Human Comprehensive Anatomical Image Segmentation - Integration of Geometry and Pixel Data in MONAI - VISTA-3D: A Foundation Model for Anatomical Segmentation - MAISI: A Latent Diffusion Model for high-quality synthetic CT images - VISTA-2D: An Advanced Cell Image Segmentation Model - MONAI Multi-Modal: Enhancing medical imaging workflows with Visual Language Models Whether you're new to the field or an experienced researcher, these sessions will provide practical insights into the latest methods and applications in medical AI. Register now at: https://lnkd.in/grANCeuy #MONAI #MedicalImaging #MONAIDay #MedicalAI

An outstanding 3D CT segmentation and zero-shot learning model...built using #MONAI! VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography Yufan He,?Pengfei Guo,?Yucheng Tang,?Andriy Myronenko,?Vishwesh Nath,?Ziyue Xu,?Dong Yang,?Can Zhao,?Benjamin Simon,?Mason Belue,?Stephanie Harmon,?Baris Turkbey,?Daguang Xu,?Wenqi Li ABSTRACT...for 3D medical image analysis, an ideal segmentation solution might expect two features: accurate out-of-the-box performance covering major organ classes, and effective adaptation or zero-shot ability to novel structures. In this paper, we discuss what features a 3D CT segmentation foundation model should have, and introduce VISTA3D, Versatile Imaging SegmenTation and Annotation model. The model is trained systematically on 11454 volumes encompassing 127 types of human anatomical structures and various lesions and provides accurate out-of-the-box segmentation. The model's design also achieves state-of-the-art zero-shot interactive segmentation in 3D. The novel model design and training recipe represent a promising step toward developing a versatile medical image foundation model. Code and model weights will be released shortly. Read the full paper at arXiv: https://lnkd.in/evAt3DRx Try a free online demo: https://lnkd.in/eY9JNzTA

Thank you for your contributions to MONAI!!!

Open positions for MONAI experts at NVidia!!!

Our MONAI Label Paper is Now Published in Medical Image Analysis! Excited to announce that our work on "MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images" has been published in the prestigious journal Medical Image Analysis. ?? MONAI Label is an open-source framework that uses AI to accelerate the laborious process of annotating 3D medical images, reducing annotation time by up to 5x while maintaining high accuracy. ?? Read the full paper: https://lnkd.in/exKMuEiP Part of the MONAI ecosystem for healthcare AI, this breakthrough has the potential to drive research and clinical applications relying on labeled medical imaging data. #MedicalImaging #ArtificialIntelligence #OpenSource #HealthcareAI

Interested in deploying your radiology AI models using a model server and a RestFul Endpoint? In this blog you will be able to learn about deploying #MONAI models using either #TorchServe or #NVIDIA's Triton Inference Server. Code available at: https://lnkd.in/ed6pihBz Tutorial: https://lnkd.in/enVyAENs Thanks Jiahui Guan and Michael Zephyr for helping with this . #radiology #mayoclinic #ai #modelserver #aideployment #medicalimaging

The #opensource #MONAI platform for #medicalimaging #ai has enabled hundreds of applications and research publications.? Here are eight recent publications involving modalities ranging from photon-counting CT to electron microscopy. They discuss topics ranging from wisdom tooth segmentation to plant cell analysis. If you’ve found MONAI to be helpful in your work, please cite this paper: Cardoso MJ, Li W, Brown R, Ma N, Kerfoot E, Wang Y, Murrey B, Myronenko A, Zhao C, Yang D, Nath V. Monai: An open-source framework for deep learning in healthcare. arXiv preprint arXiv:2211.02701. 2022 Nov 4. The eight recent MONAI publications are the following: 1) Learning carotid vessel wall segmentation in black blood MRI using sparsely sampled cross-sections from 3D data H Rahlfs, M Hüllebrand, S Schmitter, C Strecker… - Medical Imaging 2024 2) NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation Z Zhou, Y Chen, A He, X Que, K Wang, R Yao, T Li - IEEE Journal of Biomedical and Health Informatics 3) A robust transformer-based pipeline of 3D cell alignment, denoise and instance segmentation on electron microscopy sequence images J Liu, Y Zheng, L Lin, J Guo, Y Lv, J Yuan, H Zhai… - Journal of Plant Physiology, 2024 4) FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model M Zhang, P Golland, PE Grant, E Adalsteinsson - arXiv preprint arXiv:2404.00132, 2024 5) 3D spatial and channel reconstruction for large image patch based segmentation of knee anatomical structures on MRI Z Yu, X Zhao, J Singh, J Wang, T Yu, D Barot, J Pu - Medical Imaging 2024 6) Continued pretraining for enhanced multi-organ segmentation from CT images Y Yang, C Shen, Y Tang, HR Roth, M Oda, Y Hayashi… - Medical Imaging 2024 7) Automated segmentation of polyps by 3D deep learning in photon-counting CT colonography JJ N?ppi, T Hironaka, D Wu, R Gupta, R Tachibana… - Medical Imaging 2024 8) Segmentation of the left atrium and proximal pulmonary veins based on dimensional decomposition attention G Zhang, T Liang, Y Li, K Liang, Z Gong, W Guo… - International Journal of Imaging Systems and Technology, 2024