Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Erus, Guray"'
Autor:
Chintapalli, Sai Spandana, Wang, Rongguang, Yang, Zhijian, Tassopoulou, Vasiliki, Yu, Fanyang, Bashyam, Vishnu, Erus, Guray, Chaudhari, Pratik, Shou, Haochang, Davatzikos, Christos
Availability of large and diverse medical datasets is often challenged by privacy and data sharing restrictions. For successful application of machine learning techniques for disease diagnosis, prognosis, and precision medicine, large amounts of data
Externí odkaz:
http://arxiv.org/abs/2407.12897
Machine learning (ML) has shown great promise for revolutionizing a number of areas, including healthcare. However, it is also facing a reproducibility crisis, especially in medicine. ML models that are carefully constructed from and evaluated on a t
Externí odkaz:
http://arxiv.org/abs/2308.03175
Autor:
Yang, Zhijian, Wen, Junhao, Abdulkadir, Ahmed, Cui, Yuhan, Erus, Guray, Mamourian, Elizabeth, Melhem, Randa, Srinivasan, Dhivya, Govindarajan, Sindhuja T., Chen, Jiong, Habes, Mohamad, Masters, Colin L., Maruff, Paul, Fripp, Jurgen, Ferrucci, Luigi, Albert, Marilyn S., Johnson, Sterling C., Morris, John C., LaMontagne, Pamela, Marcus, Daniel S., Benzinger, Tammie L. S., Wolk, David A., Shen, Li, Bao, Jingxuan, Resnick, Susan M., Shou, Haochang, Nasrallah, Ilya M., Davatzikos, Christos
Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting
Externí odkaz:
http://arxiv.org/abs/2301.10772
Autor:
Wen, Junhao, Fu, Cynthia H. Y., Tosun, Duygu, Veturi, Yogasudha, Yang, Zhijian, Abdulkadir, Ahmed, Mamourian, Elizabeth, Srinivasan, Dhivya, Bao, Jingxuan, Erus, Guray, Shou, Haochang, Habes, Mohamad, Doshi, Jimit, Varol, Erdem, Mackin, Scott R, Sotiras, Aristeidis, Fan, Yong, Saykin, Andrew J., Sheline, Yvette I., Shen, Li, Ritchie, Marylyn D., Wolk, David A., Albert, Marilyn, Resnick, Susan M., Davatzikos, Christos
Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity would aid in elucidating etiological mechanisms and pave the road to precision and individualized medicine. We sought t
Externí odkaz:
http://arxiv.org/abs/2110.11347
Autor:
Hwang, Gyujoon, Abdulkadir, Ahmed, Erus, Guray, Habes, Mohamad, Pomponio, Raymond, Shou, Haochang, Doshi, Jimit, Mamourian, Elizabeth, Rashid, Tanweer, Bilgel, Murat, Fan, Yong, Sotiras, Aristeidis, Srinivasan, Dhivya, Morris, John C., Marcus, Daniel, Albert, Marilyn S., Bryan, Nick R., Resnick, Susan M., Nasrallah, Ilya M., Davatzikos, Christos, Wolk, David A.
Neuroimaging biomarkers that distinguish between typical brain aging and Alzheimer's disease (AD) are valuable for determining how much each contributes to cognitive decline. Machine learning models can derive multi-variate brain change patterns rela
Externí odkaz:
http://arxiv.org/abs/2109.03723
Autor:
Miller, Marissa A., Taddei-Peters, Wendy C., Jeffries, Neal O., Buxton, Dennis, Geller, Nancy L., Gordon, David, Burke, Catherine, Lee, Albert, Smith, Tyrone, Moy, Claudia S., Gombos, Ilana Kogan, Weisel, Richard, Gardner, Timothy J., O'Gara, Patrick T., Rose, Eric A., Gelijns, Annetine C., Parides, Michael K., Ascheim, Deborah D., Moskowitz, Alan J., Bagiella, Emilia, Moquete, Ellen, Shah, Kinjal, Overbey, Jessica R., Pan, Stephanie, Chang, Helena, Chase, Melissa, Goldfarb, Seth, Gupta, Lopa, Kirkwood, Katherine, Dobrev, Edlira, Levitan, Ron, O'Sullivan, Karen, Santos, Milerva, Ye, Xia, Mack, Michael, Winkle, Rachelle, Boswell, Haley, Fenlon, Amanda, Johnson, Melissa, Jones, Jessica, Kolb, Megan, Lam, Sarah, Miranda, Lucy, Ward, Jackie, Whitman, Renessa, Zingler, Brittany, Ryan, William, Smith, Robert L., Grayburn, Paul, Nosnik, Pedro, Gillinov, A. Marc, Blackstone, Eugene H., Moazami, Nader, Starling, Randall C., Barzilai, Benico, Grimm, Richard A., Soltesz, Edward G., Katzan, Irene, Strippy, Brian, Smith, Shoi, Garcia, Michelle, Alice bowman, Mary, Geither, Carrie, Wang, Robert, Argenziano, Michael, Borger, Michael, Takayama, Hiroo, Leon, Martin B., Goldsmith, Lyn, Schwartz, Allan, Sookraj, Nadia, McCright-Gill, Talaya, Sreekanth, Sowmya, McCullough, Jock N., Iribarne, Alexander, DeSimone, Joseph P., DiScipio, Anthony W., Stokes, Henry, Ivany, Amanda St., Petty, Gaylin, Smith, Peter K., Alexander, John H., Milano, Carmelo A., Glower, Donald D., Huber, Joel, Morganlander, Joel, Mathew, Joseph P., Welsh, Stacey, Casalinova, Sarah, Johnson, Victoria, Lane, Kathleen, Smith, Derek, Tipton, Greg, Berry, Mark F., Williams, Judson B., Englum, Brian, Hartwig, Matthew, Thourani, Vinod H., Guyton, Robert, Lattouf, Omar, Chen, Edward, Vega, J. David, Baer, Jefferson, Nguyen, Duc, Halkos, Michael, Baio, Kim, Prince, Tamara, Cook, Natascha, Neill, Alexis A., Voisine, Pierre, Senechal, Mario, Dagenais, François, Laforce, Robert, Jr., O'Connor, Kim, Dussault, Gladys, Caouette, Manon, Tremblay, Hugo, Gagne, Nathalie, Dumont, Julie, Landry, Patricia, Groh, Mark A., Trichon, Benjamin H., Binns, Oliver A., Ely, Stephen W., Johnson, Alan M., Hansen, Todd H., Short, John G., Taylor, Reid D., Mangusan, Ralph, Nanney, Tracy, Aubart, Holly, Cross, Kristin, McPeters, Leslie, Riggsbee, Christina, Rixey, Lucy, Michler, Robert E., DeRose, Joseph J., Jr., Goldstein, Daniel J., Bello, Ricardo A., Taub, Cynthia, Spevack, Daniel, Kirchoff, Kathryn, Meli, Rebecca, Garcia, Juan, Goldenberg, Jon, Kealy, Lauren, Perrault, Louis P., Bouchard, Denis, Tanguay, Jean François, O'Meara, Eileen, Lacharité, Jonathan, Robichaud, Sophie, Horvath, Keith A., Corcoran, Philip C., Siegenthaler, Michael P., Murphy, Mandy, Iraola, Margaret, Greenberg, Ann, Kumkumian, Greg, Milner, Mark, Nadareishvili, Zurab, Whitson, Bryan A., Hasan, Ayesha, McDavid, Asia, Fadorsen, Denise, Ouzounian, Maral, Yau, Terry, Farkouh, Michael, Woo, Anna, Cusimano, Robert James, David, Tirone, Feindel, Christopher, Fumakia, Nishit, Christie, Shakira, Mullen, John C., Bissonauth, Asvina, Hripko, Alexandra, Gammie, James S., Noor, Zahid, Mackowick, Kristen, Deasey, Stephanie, Al-Suqi, Manal, Collins, Julia, Acker, Michael A., Messé, Steven, Kirkpatrick, James, Mayer, Mary Lou, McDonald, Caitlin, Fok, Holley, Maffei, Breanna, Cresse, Stephen, Gepty, Christine, Bowdish, Michael, Starnes, Vaughn A., Shavalle, David, Heck, Christi, Hackmann, Amy, Baker, Craig, Fleischman, Fernando, Cunningham, Mark, Lozano, Edward, Hernandez, Michelle, Ailawadi, Gorav, Kron, Irving L., Johnston, Karen, Ghanta, Ravi K., Dent, John M., Kern, John, Yarboro, Leora, Ragosta, Michael, Annex, Brian, Bergin, Jim, Burks, Sandra, Cosner, Mike, Green, China, Loya, Samantha, Kim, Hye Ryun, Bull, David A., Desvigne-Nickens, Patrice, Dixon, Dennis O., Gottesman, Rebecca, Haigney, Mark, Holubkov, Richard, Iadecola, Constantino, Jacobs, Alice, Meslin, Eric M., Murkin, John M., Spertus, John A., Sellke, Frank, McDonald, Cheryl L., Canty, John, Dickert, Neal, Ikonomidis, John S., Kim, KyungMann, Williams, David O., Yancy, Clyde W., Chaturvedi, Seemant, Chimowitz, Marc, Fang, James C., Richenbacher, Wayne, Rao, Vivek, Furie, Karen L., Miller, Rachel, Cook, Jennifer, D'Alessandro, David, Han, Frederick, Pinney, Sean, Walsh, Mary N., Greer, David, Ishida, Koto, Stapf, Christian, Hung, Judy, Zeng, Xin, Hung, David, Satitthummanid, Sudarat, Billelo, Michel, Davatzikos, Christos, Erus, Guray, Karpf, Lauren, Desiderio, Lisa, Browndyke, Jeffrey N., James, Michael L., Toulgoat-Dubois, Yanne, Brassard, Rachele, Virmanu, Renu, Romero, Maria E., Braumann, Ryan, Messé, Steven R., Mack, Michael J., Southerland, Andrew M., Moy, Claudia Scala, Bowdish, Michael E.
Publikováno v:
In The Journal of Thoracic and Cardiovascular Surgery February 2024 167(2):624-633
Autor:
Yang, Zhijian, Nasrallah, Ilya M., Shou, Haochang, Wen, Junhao, Doshi, Jimit, Habes, Mohamad, Erus, Guray, Abdulkadir, Ahmed, Resnick, Susan M., Wolk, David, Davatzikos, Christos
Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and validate Smile-GAN (SeMI-supervised cLustEring-Generative Adversarial Network), a novel semi-supervised deep-clustering method, which dissects neuroanat
Externí odkaz:
http://arxiv.org/abs/2102.12582
Autor:
Bashyam, Vishnu M., Doshi, Jimit, Erus, Guray, Srinivasan, Dhivya, Abdulkadir, Ahmed, Habes, Mohamad, Fan, Yong, Masters, Colin L., Maruff, Paul, Zhuo, Chuanjun, Völzke, Henry, Johnson, Sterling C., Fripp, Jurgen, Koutsouleris, Nikolaos, Satterthwaite, Theodore D., Wolf, Daniel H., Gur, Raquel E., Gur, Ruben C., Morris, John C., Albert, Marilyn S., Grabe, Hans J., Resnick, Susan M., Bryan, R. Nick, Wolk, David A., Shou, Haochang, Nasrallah, Ilya M., Davatzikos, Christos
Conventional and deep learning-based methods have shown great potential in the medical imaging domain, as means for deriving diagnostic, prognostic, and predictive biomarkers, and by contributing to precision medicine. However, these methods have yet
Externí odkaz:
http://arxiv.org/abs/2010.05355
Autor:
Marinescu, Razvan V., Oxtoby, Neil P., Young, Alexandra L., Bron, Esther E., Toga, Arthur W., Weiner, Michael W., Barkhof, Frederik, Fox, Nick C., Eshaghi, Arman, Toni, Tina, Salaterski, Marcin, Lunina, Veronika, Ansart, Manon, Durrleman, Stanley, Lu, Pascal, Iddi, Samuel, Li, Dan, Thompson, Wesley K., Donohue, Michael C., Nahon, Aviv, Levy, Yarden, Halbersberg, Dan, Cohen, Mariya, Liao, Huiling, Li, Tengfei, Yu, Kaixian, Zhu, Hongtu, Tamez-Pena, Jose G., Ismail, Aya, Wood, Timothy, Bravo, Hector Corrada, Nguyen, Minh, Sun, Nanbo, Feng, Jiashi, Yeo, B. T. Thomas, Chen, Gang, Qi, Ke, Chen, Shiyang, Qiu, Deqiang, Buciuman, Ionut, Kelner, Alex, Pop, Raluca, Rimocea, Denisa, Ghazi, Mostafa M., Nielsen, Mads, Ourselin, Sebastien, Sorensen, Lauge, Venkatraghavan, Vikram, Liu, Keli, Rabe, Christina, Manser, Paul, Hill, Steven M., Howlett, James, Huang, Zhiyue, Kiddle, Steven, Mukherjee, Sach, Rouanet, Anais, Taschler, Bernd, Tom, Brian D. M., White, Simon R., Faux, Noel, Sedai, Suman, Oriol, Javier de Velasco, Clemente, Edgar E. V., Estrada, Karol, Aksman, Leon, Altmann, Andre, Stonnington, Cynthia M., Wang, Yalin, Wu, Jianfeng, Devadas, Vivek, Fourrier, Clementine, Raket, Lars Lau, Sotiras, Aristeidis, Erus, Guray, Doshi, Jimit, Davatzikos, Christos, Vogel, Jacob, Doyle, Andrew, Tam, Angela, Diaz-Papkovich, Alex, Jammeh, Emmanuel, Koval, Igor, Moore, Paul, Lyons, Terry J., Gallacher, John, Tohka, Jussi, Ciszek, Robert, Jedynak, Bruno, Pandya, Kruti, Bilgel, Murat, Engels, William, Cole, Joseph, Golland, Polina, Klein, Stefan, Alexander, Daniel C.
Publikováno v:
Machine Learning for Biomedical Imaging (MELBA), Dec 2021
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk
Externí odkaz:
http://arxiv.org/abs/2002.03419
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