Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies

Autor: Wysoczanski, Artur, Ettehadi, Nabil, Arabshahi, Soroush, Sun, Yifei, Stukovsky, Karen Hinkley, Watson, Karol E., Han, MeiLan K., Michos, Erin D, Comellas, Alejandro P., Hoffman, Eric A., Laine, Andrew F., Barr, R. Graham, Angelini, Elsa D.

Pulmonary emphysema, the progressive, irreversible loss of lung tissue, is conventionally categorized into three subtypes identifiable on pathology and on lung computed tomography (CT) images. Recent work has led to the unsupervised learning of ten s

Externí odkaz: http://arxiv.org/abs/2403.00257

Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study

Autor: Zhang, Xuzhe, Angelini, Elsa D., Hoffman, Eric A., Watson, Karol E., Smith, Benjamin M., Barr, R. Graham, Laine, Andrew F.

Robust quantification of pulmonary emphysema on computed tomography (CT) remains challenging for large-scale research studies that involve scans from different scanner types and for translation to clinical scans. Existing studies have explored severa

Externí odkaz: http://arxiv.org/abs/2402.18383

Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

Autor: Zillikens, M. Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M., Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, Jian’an, Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A. M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S. L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong-Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O’Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Räikkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M. A., Tan, Sian-Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichmann, H.-Erich, Widen, Elisabeth, Williams, Frances M. K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J. F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, Kiel, Douglas P.

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 2

Externí odkaz: http://hdl.handle.net/10150/625337
http://arizona.openrepository.com/arizona/handle/10150/625337

Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network

Autor: Chaudhary, Muhammad F. A., Gerard, Sarah E., Wang, Di, Christensen, Gary E., Cooper, Christopher B., Schroeder, Joyce D., Hoffman, Eric A., Reinhardt, Joseph M.

Local tissue expansion of the lungs is typically derived by registering computed tomography (CT) scans acquired at multiple lung volumes. However, acquiring multiple scans incurs increased radiation dose, time, and cost, and may not be possible in ma

Externí odkaz: http://arxiv.org/abs/2110.07878

A population-based study of children suggests blunted morning cortisol rhythms are associated with alterations of the systemic inflammatory state

Autor: Roy, Runia, Dang, Utkarsh J., Huffman, Kim M., Alayi, Tchilabalo, Hathout, Yetrib, Nagaraju, Kanneboyina, Visich, Paul S., Hoffman, Eric P.

Publikováno v: In Psychoneuroendocrinology January 2024 159