Zobrazeno 1 - 10
of 17
pro vyhledávání: '"D‘Souza, Niharika S."'
Autor:
Kashyap, Satyananda, D'Souza, Niharika S., Shi, Luyao, Wong, Ken C. L., Wang, Hongzhi, Syeda-Mahmood, Tanveer
Content-addressable memories such as Modern Hopfield Networks (MHN) have been studied as mathematical models of auto-association and storage/retrieval in the human declarative memory, yet their practical use for large-scale content storage faces chal
Externí odkaz:
http://arxiv.org/abs/2409.16408
Autor:
Chen, Yiming, D'Souza, Niharika S., Mandepally, Akshith, Henninger, Patrick, Kashyap, Satyananda, Karani, Neerav, Dey, Neel, Zachary, Marcos, Rizq, Raed, Chouinard, Paul, Golland, Polina, Syeda-Mahmood, Tanveer F.
Precisely estimating lumen boundaries in intravascular ultrasound (IVUS) is needed for sizing interventional stents to treat deep vein thrombosis (DVT). Unfortunately, current segmentation networks like the UNet lack the precision needed for clinical
Externí odkaz:
http://arxiv.org/abs/2408.04826
Polysomnography (PSG) is a type of sleep study that records multimodal physiological signals and is widely used for purposes such as sleep staging and respiratory event detection. Conventional machine learning methods assume that each sleep study is
Externí odkaz:
http://arxiv.org/abs/2402.17788
Autor:
D'Souza, Niharika S., Wang, Hongzhi, Giovannini, Andrea, Foncubierta-Rodriguez, Antonio, Beck, Kristen L., Boyko, Orest, Syeda-Mahmood, Tanveer
With the emergence of multimodal electronic health records, the evidence for an outcome may be captured across multiple modalities ranging from clinical to imaging and genomic data. Predicting outcomes effectively requires fusion frameworks capable o
Externí odkaz:
http://arxiv.org/abs/2307.07093
Connectomics has emerged as a powerful tool in neuroimaging and has spurred recent advancements in statistical and machine learning methods for connectivity data. Despite connectomes inhabiting a matrix manifold, most analytical frameworks ignore the
Externí odkaz:
http://arxiv.org/abs/2303.14986
Autor:
D'Souza, Niharika S., Wang, Hongzhi, Giovannini, Andrea, Foncubierta-Rodriguez, Antonio, Beck, Kristen L., Boyko, Orest, Syeda-Mahmood, Tanveer
In a complex disease such as tuberculosis, the evidence for the disease and its evolution may be present in multiple modalities such as clinical, genomic, or imaging data. Effective patient-tailored outcome prediction and therapeutic guidance will re
Externí odkaz:
http://arxiv.org/abs/2210.14377
Autor:
D‘Souza, Niharika S., Wang, Hongzhi, Giovannini, Andrea, Foncubierta-Rodriguez, Antonio, Beck, Kristen L., Boyko, Orest, Syeda-Mahmood, Tanveer F.
Publikováno v:
In Medical Image Analysis April 2024 93
Akademický článek
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Publikováno v:
In Connectome Analysis 2023:173-199
Autor:
Arichi, Tomoki, Arnatkevičiūtė, Aurina, Bassett, Dani S., Batalle, Dafnis, Baxter, Luke, Bendlin, Barbara B., Betzel, Richard F., Blommaert, Jeroen, Bonkhoff, Anna K., Calamante, Fernando, Christiaens, Daan, Chung, Ai Wern, Ciarrusta, Judit, Crossley, Nicolas A., Dvornek, Nicha C., D’Souza, Niharika S., Edlow, Brian L., Fenn-Moltu, Sunniva, Ferrante, Enzo, Fields, Carroll Rutherford, Fischer, David, Fornito, Alex, Fotiadis, Panagiotis, França, Lucas G.S., Fulcher, Ben D., Huang, Hao, Kohli, Akshay, Ktena, Sofia Ira, Li, Shi-Jiang, Li, Xiaoxiao, Lv, Jinglei, Oldham, Stuart, Ouyang, Minhui, Rost, Natalia S., Schirmer, Markus D., Snider, Samuel B., Sotiras, Aristeidis, Sporns, Olaf, Venkataraman, Archana, Zhu, Tianjia
Publikováno v:
In Connectome Analysis 2023:xvii-xx