I develop AI-powered, cloud-native software and imaging methodologies that translate complex biomedical data into meaningful clinical and scientific impact.
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Connecting imaging physics, AI, and cloud computing for biomedical impact.
Quantitative image feature extraction and machine learning for precision diagnostics.
Explore →End-to-end open-source pipelines simulating the full MRI experiment in the cloud.
Explore →Patient-specific body model registration for SAR and safety simulation.
Explore →Serverless, scalable research platforms on AWS for reproducible science.
Explore →Modular, documented tools freely available for the research community.
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Eros Montin, Kartik Logishetty, Hariharan Subbiah Ponniah, Srikar Namireddy, Iman Khodarahmi, Sion Glin-Jones, Riccardo Lattanzi
Journal Of Clinical Medicine
Eros Montin, Giuseppe Carluccio, Christopher Collins, Riccardo Lattanzi
2024 E-Health and Bioengineering Conference (EHB)
Cloud-native platform for MRI simulation, safety analysis, and protocol optimization. Connects open-source modules for coil modeling, spin excitation, and image reconstruction.
Temperature Estimation from SAR Simulation. A serverless AWS-based tool for MRI safety evaluation using the bioheat equation.
End-to-end automated radiomics pipeline for femoroacetabular impingement diagnosis using PyRadiomics and machine learning classifiers.
Recent peer-reviewed work and conference contributions.
Eros Montin, Xuan Thao Nguyen, Riccardo Lattanzi
Computer Methods and Programs in Biomedicine Update
MR Optimum is a cloud-native open-source web platform for standardized MRI signal-to-noise ratio analysis. The tool brings multiple SNR estimation methods into a modular interface for upload, computation, visualization, and export of SNR maps, g-factor maps, coil sensitivity information, and related quality-assurance outputs.
Ozkan Cigdem, Eros Montin, Naseem Machlovi, James Lee, Riccardo Lattanzi
Osteoarthritis and Cartilage
Conference abstract describing segmentation of the femur and acetabulum on volumetric 3T MRI for femoroacetabular impingement evaluation.
Karthik Lakshmanan, Lindsay Phillips, Bili Wang, Eros Montin, Jerzy Walczyk, Ryan Brown
Physics in Medicine & Biology
This work evaluates a four-row MRI receive-array design with remote circuitry for MR-guided radiation therapy systems. The design preserves the radiolucent window while improving parallel imaging options in the head-foot direction and supporting multidirectional acceleration.
Open-source research software for the biomedical imaging community.
Cloud-native platform for MRI simulation, safety analysis, and protocol optimization. Connects open-source modules for coil modeling, spin excitation, and image reconstruction.
Temperature Estimation from SAR Simulation. A serverless AWS-based tool for MRI safety evaluation using the bioheat equation.
End-to-end automated radiomics pipeline for femoroacetabular impingement diagnosis using PyRadiomics and machine learning classifiers.
Open-source modular pipeline to simulate the entire MRI experiment from coil modeling to image reconstruction. Cloud-compatible and web-accessible.
I help research teams translate complex biomedical imaging ideas into usable software, reproducible pipelines, and interpretable scientific outputs.
