Search Results - "Cicalese, Pietro"

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  1. 1

    Artificial intelligence and machine learning in nephropathology by Becker, Jan U, Mayerich, David, Padmanabhan, Meghana, Barratt, Jonathan, Ernst, Angela, Boor, Peter, Cicalese, Pietro A, Mohan, Chandra, Nguyen, Hien V, Roysam, Badrinath

    Published in Kidney international (01-07-2020)
    “…Artificial intelligence (AI) for the purpose of this review is an umbrella term for technologies emulating a nephropathologist's ability to extract information…”
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    Journal Article
  2. 2

    An EEG-fNIRS hybridization technique in the four-class classification of alzheimer’s disease by Cicalese, Pietro A., Li, Rihui, Ahmadi, Mohammad B., Wang, Chushan, Francis, Joseph T., Selvaraj, Sudhakar, Schulz, Paul E., Zhang, Yingchun

    Published in Journal of neuroscience methods (15-04-2020)
    “…•Machine learning technique is able to classify patients with Alzheimer’s disease at different stages.•Hybrid EEG/fNIRS feature set achieves higher…”
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  3. 3

    Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification by Mobiny, Aryan, Yuan, Pengyu, Cicalese, Pietro A., Moulik, Supratik K., Garg, Naveen, Wu, Carol C., Wong, Kelvin, Wong, Stephen T., He, Tian Cheng, Nguyen, Hien V.

    Published in IEEE transactions on medical imaging (01-10-2021)
    “…Computer-aided diagnosis (CAD) systems must constantly cope with the perpetual changes in data distribution caused by different sensing technologies, imaging…”
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    Journal Article
  4. 4

    Comprehensive aptamer-based screen of 1317 proteins uncovers improved stool protein markers of colorectal cancer by Li, Hao, Vanarsa, Kamala, Zhang, Ting, Soomro, Sanam, Cicalese, Pietro Antonio, Duran, Valeria, Dasari, Shobha, Lee, Kyung Hyun, Pedroza, Claudia, Kisiel, John B., Qin, Huanlong, Bresalier, Robert S., Chia, Nicholas, Mohan, Chandra

    Published in Journal of gastroenterology (01-07-2021)
    “…Background To screen and validate novel stool protein biomarkers of colorectal cancer (CRC). Methods A novel aptamer-based screen of 1317 proteins was used to…”
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  5. 5

    Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks by Cicalese, Pietro Antonio, Mobiny, Aryan, Shahmoradi, Zahed, Yi, Xiongfeng, Mohan, Chandra, Van Nguyen, Hien

    “…The kidney biopsy based diagnosis of Lupus Nephritis (LN) is characterized by low inter-observer agreement, with misdiagnosis being associated with increased…”
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    DECAPS: Detail-Oriented Capsule Networks by Mobiny, Aryan, Yuan, Pengyu, Cicalese, Pietro Antonio, Van Nguyen, Hien

    Published 08-07-2020
    “…Capsule Networks (CapsNets) have demonstrated to be a promising alternative to Convolutional Neural Networks (CNNs). However, they often fall short of…”
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  13. 13

    StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification by Cicalese, Pietro Antonio, Mobiny, Aryan, Yuan, Pengyu, Becker, Jan, Mohan, Chandra, Van Nguyen, Hien

    Published 09-07-2020
    “…The classification of Antibody Mediated Rejection (AMR) in kidney transplant remains challenging even for experienced nephropathologists; this is partly…”
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    Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification by Yuan, Pengyu, Mobiny, Aryan, Jahanipour, Jahandar, Li, Xiaoyang, Cicalese, Pietro Antonio, Roysam, Badrinath, Patel, Vishal, Dragan, Maric, Van Nguyen, Hien

    Published 09-07-2020
    “…Deep Neural Networks (or DNNs) must constantly cope with distribution changes in the input data when the task of interest or the data collection protocol…”
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  16. 16

    Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks by Mobiny, Aryan, Cicalese, Pietro Antonio, Zare, Samira, Yuan, Pengyu, Abavisani, Mohammadsajad, Wu, Carol C, Ahuja, Jitesh, de Groot, Patricia M, Van Nguyen, Hien

    Published 15-04-2020
    “…Radiographic images offer an alternative method for the rapid screening and monitoring of Coronavirus Disease 2019 (COVID-19) patients. This approach is…”
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