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公开(公告)号：US20220293247A1
公开(公告)日：2022-09-15
申请号：US17249783
申请日：2021-03-12
发明人： Eli Gibson , Bogdan Georgescu , Pascal Ceccaldi , Youngjin Yoo , Jyotipriya Das , Thomas Re , Eva Eibenberger , Andrei Chekkoury , Barbara Brehm , Thomas Flohr , Dorin Comaniciu , Pierre-Hugo Trigan
摘要： Systems and method for performing a medical imaging analysis task for making a clinical decision are provided. One or more input medical images of a patient are received. A medical imaging analysis task is performed from the one or more input medical images using a machine learning based network. The machine learning based network generates a probability score associated with the medical imaging analysis task. An uncertainty measure associated with the probability score is determined. A clinical decision is made based on the probability score and the uncertainty measure.
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公开(公告)号：US20190295709A1
公开(公告)日：2019-09-26
申请号：US16356086
申请日：2019-03-18
发明人： Guillaume Chabin , Sasa Grbic , Thomas Re , Bogdan Georgescu , Afshin Ezzi , Dorin Comaniciu , Daphne Yu
摘要： Systems and methods are provided for determining an analytic measure of a patient population. A knowledge database comprising structured patient data for a patient population is maintained. The structured patient data is generated by processing unstructured medical imaging data for the patient population using one or more machine learning algorithms. An analytic measure of the patient population is determined based on the structured patient data of the knowledge database. The analytic measure of the patient population is output.
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公开(公告)号：US20230102246A1
公开(公告)日：2023-03-30
申请号：US17449263
申请日：2021-09-29
发明人： Bogdan Georgescu , Eli Gibson , Thomas Re , Dorin Comaniciu , Florin-Cristian Ghesu , Vivek Singh
摘要： Systems and methods for generating a probabilistic tree of vessels are provided. An input medical image of vessels of a patient is received. Anatomical landmarks are identified in the input medical image. A centerline of the vessels in the input medical image is determined based on the anatomical landmarks. A probabilistic tree of the vessels is generated based on a probability of fit of the anatomical landmarks and the centerline of the vessels. The probabilistic tree of the vessels is output.
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公开(公告)号：US20220309667A1
公开(公告)日：2022-09-29
申请号：US17211927
申请日：2021-03-25
发明人： Youngjin Yoo , Thomas Re , Eli Gibson , Andrei Chekkoury
摘要： Systems and methods for assessing expansion of an abnormality are provided. A first input medical image of a patient depicting an abnormality at a first time and a second input medical image of the patient depicting the abnormality at a second time are received. The second input medical image is registered with the first input medical image. The abnormality is segmented from 1) the first input medical image to generate a first segmentation map and 2) the registered second input medical image to generate a second segmentation map. The first segmentation map and the second segmentation map are combined to generate a combined map. Features are extracted from the first input medical image and the registered second input medical image are based on the combined map. Expansion of the abnormality is assessed based on the extracted features using a trained machine learning based network. Results of the assessment are output.
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公开(公告)号：US11430121B2
公开(公告)日：2022-08-30
申请号：US16837979
申请日：2020-04-01
发明人： Shikha Chaganti , Sasa Grbic , Bogdan Georgescu , Zhoubing Xu , Siqi Liu , Youngjin Yoo , Thomas Re , Guillaume Chabin , Thomas Flohr , Valentin Ziebandt , Dorin Comaniciu , Brian Teixeira , Sebastien Piat
摘要： Systems and methods for assessing a disease are provided. Medical imaging data of lungs of a patient is received. The lungs are segmented from the medical imaging data and abnormality regions associated with a disease are segmented from the medical imaging data. An assessment of the disease is determined based on the segmented lungs and the segmented abnormality regions. The disease may be COVID-19 (coronavirus disease 2019) or diseases, such as, e.g., SARS (severe acute respiratory syndrome), MERS (Middle East respiratory syndrome), or other types of viral and non-viral pneumonia.
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公开(公告)号：US20210398654A1
公开(公告)日：2021-12-23
申请号：US16946435
申请日：2020-06-22
发明人： Shikha Chaganti , Sasa Grbic , Bogdan Georgescu , Guillaume Chabin , Thomas Re , Youngjin Yoo , Thomas Flohr , Valentin Ziebandt , Dorin Comaniciu
摘要： Systems and methods for automatically detecting a disease in medical images are provided. Input medical images are received. A plurality of metrics for a disease is computed for each of the input medical images. The input medical images are clustered into a plurality of clusters based on one or more of the plurality of metrics to classify the input medical images. The plurality of clusters comprise a cluster of one or more of the input medical images associated with the disease and one or more clusters of one or more of the input medical images not associated with the disease. In one embodiment, the disease is COVID-19 (coronavirus disease 2019).
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公开(公告)号：US20210327054A1
公开(公告)日：2021-10-21
申请号：US16865266
申请日：2020-05-01
发明人： Siqi Liu , Bogdan Georgescu , Zhoubing Xu , Youngjin Yoo , Guillaume Chabin , Shikha Chaganti , Sasa Grbic , Sebastien Piat , Brian Teixeira , Thomas Re , Dorin Comaniciu
摘要： Systems and methods for generating a synthesized medical image are provided. An input medical image is received. A synthesized segmentation mask is generated. The input medical image is masked based on the synthesized segmentation mask. The masked input medical image has an unmasked portion and a masked portion. An initial synthesized medical image is generated using a trained machine learning based generator network. The initial synthesized medical image includes a synthesized version of the unmasked portion of the masked input medical image and synthesized patterns in the masked portion of the masked input medical image. The synthesized patterns is fused with the input medical image to generate a final synthesized medical image.
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公开(公告)号：US20210304408A1
公开(公告)日：2021-09-30
申请号：US16837979
申请日：2020-04-01
发明人： Shikha Chaganti , Sasa Grbic , Bogdan Georgescu , Zhoubing Xu , Siqi Liu , Youngjin Yoo , Thomas Re , Guillaume Chabin , Thomas Flohr , Valentin Ziebandt , Dorin Comaniciu , Brian Teixeira , Sebastien Piat
摘要： Systems and methods for assessing a disease are provided. Medical imaging data of lungs of a patient is received. The lungs are segmented from the medical imaging data and abnormality regions associated with a disease are segmented from the medical imaging data. An assessment of the disease is determined based on the segmented lungs and the segmented abnormality regions. The disease may be COVID-19 (coronavirus disease 2019) or diseases, such as, e.g., SARS (severe acute respiratory syndrome), MERS (Middle East respiratory syndrome), or other types of viral and non-viral pneumonia.
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