Mr. Nathan Hadjiyski Profile

Nathan Hadjiyski

at Univ of Rochester

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Author

Publications (10)

Proceedings Article | 3 April 2024 Presentation + Paper

Quantifying input data drift in medical machine learning models by detecting change-points in time-series data

Smriti Prathapan, Ravi Samala, Nathan Hadjiyski, Pierre-François D’Haese, Fabien Maldonado, Phuong Nguyen, Yelena Yesha, Berkman Sahiner

Proceedings Volume 12927, 129270E (2024) https://doi.org/10.1117/12.3008771

KEYWORDS: Data modeling, Artificial intelligence, Performance modeling, Mammography, Machine learning, Computer simulations, Tunable filters, Solid modeling, Education and training, Detection theory

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Proceedings Article | 3 April 2024 Poster + Paper

Anatomical landmark detection in chest x-ray images using transformer-based networks

Akhil Kasturi, Ali Vosoughi, Nathan Hadjiyski, Larry Stockmaster, William Sehnert, Axel Wismüller

Proceedings Volume 12927, 129272Q (2024) https://doi.org/10.1117/12.3006881

KEYWORDS: Medical imaging, Anatomy, Biomedical applications, Chest imaging, Transformers, Image segmentation

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Proceedings Article | 2 April 2024 Presentation + Paper

Classification of endotracheal tube position in chest x-rays images

Akhil Kasturi, Ali Vosoughi, Nathan Hadjiyski, Larry Stockmaster, William Sehnert, Axel Wismüller

Proceedings Volume 12930, 129300L (2024) https://doi.org/10.1117/12.3006899

KEYWORDS: Medical imaging, Biomedical applications, Chest imaging, Artificial intelligence, Education and training

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Proceedings Article | 2 April 2024 Presentation + Paper

Segmentation of catheter tubes and lines in chest x-rays using deep learning models

Akhil Kasturi, Ali Vosoughi, Nathan Hadjiyski, Larry Stockmaster, William Sehnert, Axel Wismüller

Proceedings Volume 12930, 129300I (2024) https://doi.org/10.1117/12.3006908

KEYWORDS: Image segmentation, Medical imaging, Chest imaging, Biomedical applications, Transformers

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Proceedings Article | 28 September 2023 Presentation + Paper

Detecting landmarks in anatomical medical images using transformer-based networks

Akhil Kasturi, Ali Vosoughi, Nathan Hadjiyski, Larry Stockmaster, William Sehnert, Axel Wismüller

Proceedings Volume 12655, 1265508 (2023) https://doi.org/10.1117/12.2678538

KEYWORDS: Deep learning, Transformers, Medical imaging, Biomedical applications, Image segmentation, Chest imaging, Education and training

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Proceedings Article | 10 April 2023 Presentation + Paper

Large-Scale Granger Causality (lsGC) for classification of schizophrenia using functional MRI

Axel Wismüller, Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski

Proceedings Volume 12468, 1246818 (2023) https://doi.org/10.1117/12.2654504

KEYWORDS: Medical imaging, Matrices, Machine learning, Statistical signal processing, Digital signal processing

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Proceedings Article | 10 April 2023 Presentation + Paper

Large-scale Augmented Granger Causality (lsAGC) for discovery of causal brain connectivity networks in schizophrenia patients using functional MRI neuroimaging

Axel Wismüller, Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski

Proceedings Volume 12468, 1246817 (2023) https://doi.org/10.1117/12.2654502

KEYWORDS: Medical imaging, Functional imaging, Matrices, Machine learning, Dimension reduction

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Proceedings Article | 10 April 2023 Presentation + Paper

Identification of schizophrenia patients using large-scale Extended Granger Causality (lsXGC) in functional MR imaging

Axel Wismüller, Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski

Proceedings Volume 12468, 1246816 (2023) https://doi.org/10.1117/12.2654499

KEYWORDS: Machine learning, Machine vision, Dimension reduction, Dynamical systems, Medical imaging

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Proceedings Article | 7 April 2023 Poster + Paper

Cross modal global local representation learning from radiology reports and x-ray chest images

Nathan Hadjiyski, Ali Vosoughi, Axel Wismüller

Proceedings Volume 12465, 1246531 (2023) https://doi.org/10.1117/12.2654520

KEYWORDS: Machine learning, Deep learning, Machine vision, Artificial intelligence

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Proceedings Article | 7 April 2023 Presentation + Paper

Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imaging

Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski, Axel Wismüller

Proceedings Volume 12465, 124650A (2023) https://doi.org/10.1117/12.2654506

KEYWORDS: Computer aided detection, Machine vision, Dimension reduction, Digital signal processing, Medical imaging, Matrices

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Showing 5 of 10 publications

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