Search Results - "An, Ulzee"

A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity by Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N, Adamson, Paul C, Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A, Saab, Faysal G, Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L, Rahmani, Elior, Halperin, Eran, Manuel, Vladimir

“…Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase chain reaction (PCR-based testing exist. Our aim was to…”
Get full text

High Precision Mammography Lesion Identification From Imprecise Medical Annotations by An, Ulzee, Bhardwaj, Ankit, Shameer, Khader, Subramanian, Lakshminarayanan

“…Breast cancer screening using Mammography serves as the earliest defense against breast cancer, revealing anomalous tissue years before it can be detected…”
Get full text

STENSL: Microbial Source Tracking with ENvironment SeLection by An, Ulzee, Shenhav, Liat, Olson, Christine A, Hsiao, Elaine Y, Halperin, Eran, Sankararaman, Sriram

“…Microbial source tracking analysis has emerged as a widespread technique for characterizing the properties of complex microbial communities. However, this…”
Get full text

Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries by An, Ulzee, Pazokitoroudi, Ali, Alvarez, Marcus, Huang, Lianyun, Bacanu, Silviu, Schork, Andrew J., Kendler, Kenneth, Pajukanta, Päivi, Flint, Jonathan, Zaitlen, Noah, Cai, Na, Dahl, Andy, Sankararaman, Sriram

“…Biobanks that collect deep phenotypic and genomic data across many individuals have emerged as a key resource in human genetics. However, phenotypes in…”
Get full text

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder by Dahl, Andrew, Thompson, Michael, An, Ulzee, Krebs, Morten, Appadurai, Vivek, Border, Richard, Bacanu, Silviu-Alin, Werge, Thomas, Flint, Jonathan, Schork, Andrew J., Sankararaman, Sriram, Kendler, Kenneth S., Cai, Na

“…Biobanks often contain several phenotypes relevant to diseases such as major depressive disorder (MDD), with partly distinct genetic architectures. Researchers…”
Get full text

Forecasting Sparse Traffic Congestion Patterns Using Message-Passing RNNS by Iyer, Shiva R., An, Ulzee, Subramanian, Lakshminarayanan

“…The ability to forecast traffic congestion ahead of time given road conditions has remained a prominent problem in road traffic analysis. In this work, we…”
Get full text

Automated Identification of Incomplete and Complete Retinal Epithelial Pigment and Outer Retinal Atrophy Using Machine Learning by Chiang, Jeffrey N, Corradetti, Giulia, Nittala, Muneeswar Gupta, Corvi, Federico, Rakocz, Nadav, Rudas, Akos, Durmus, Berkin, An, Ulzee, Sankararaman, Sriram, Chiu, Alec, Halperin, Eran, Sadda, Srinivas R

“…To assess and validate a deep learning algorithm to automatically detect incomplete retinal pigment epithelial and outer retinal atrophy (iRORA) and complete…”
Get more information

Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans by Avram, Oren, Durmus, Berkin, Rakocz, Nadav, Corradetti, Giulia, An, Ulzee, Nittala, Muneeswar G, Terway, Prerit, Rudas, Akos, Chen, Zeyuan Johnson, Wakatsuki, Yu, Hirabayashi, Kazutaka, Velaga, Swetha, Tiosano, Liran, Corvi, Federico, Verma, Aditya, Karamat, Ayesha, Lindenberg, Sophiana, Oncel, Deniz, Almidani, Louay, Hull, Victoria, Fasih-Ahmad, Sohaib, Esmaeilkhanian, Houri, Cannesson, Maxime, Wykoff, Charles C, Rahmani, Elior, Arnold, Corey W, Zhou, Bolei, Zaitlen, Noah, Gronau, Ilan, Sankararaman, Sriram, Chiang, Jeffrey N, Sadda, Srinivas R, Halperin, Eran

“…The application of machine learning to tasks involving volumetric biomedical imaging is constrained by the limited availability of annotated datasets of…”
Get full text

Mammography Assessment using Multi-Scale Deep Classifiers by An, Ulzee, Shameer, Khader, Subramanian, Lakshmi

“…Applying deep learning methods to mammography assessment has remained a challenging topic. Dense noise with sparse expressions, mega-pixel raw data resolution,…”
Get full text