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of 779
pro vyhledávání: '"Tsang, Michael"'
The fundamental problem with ultrasound-guided diagnosis is that the acquired images are often 2-D cross-sections of a 3-D anatomy, potentially missing important anatomical details. This limitation leads to challenges in ultrasound echocardiography,
Externí odkaz:
http://arxiv.org/abs/2409.09680
Autor:
Luo, Liang, Zhang, Buyun, Tsang, Michael, Ma, Yinbin, Chu, Ching-Hsiang, Chen, Yuxin, Li, Shen, Hao, Yuchen, Zhao, Yanli, Lakshminarayanan, Guna, Wen, Ellie Dingqiao, Park, Jongsoo, Mudigere, Dheevatsa, Naumov, Maxim
We study a mismatch between the deep learning recommendation models' flat architecture, common distributed training paradigm and hierarchical data center topology. To address the associated inefficiencies, we propose Disaggregated Multi-Tower (DMT),
Externí odkaz:
http://arxiv.org/abs/2403.00877
Autor:
Vaseli, Hooman, Gu, Ang Nan, Amiri, S. Neda Ahmadi, Tsang, Michael Y., Fung, Andrea, Kondori, Nima, Saadat, Armin, Abolmaesumi, Purang, Tsang, Teresa S. M.
Aortic stenosis (AS) is a common heart valve disease that requires accurate and timely diagnosis for appropriate treatment. Most current automatic AS severity detection methods rely on black-box models with a low level of trustworthiness, which hinde
Externí odkaz:
http://arxiv.org/abs/2307.14433
Autor:
Zhang, Buyun, Luo, Liang, Liu, Xi, Li, Jay, Chen, Zeliang, Zhang, Weilin, Wei, Xiaohan, Hao, Yuchen, Tsang, Michael, Wang, Wenjun, Liu, Yang, Li, Huayu, Badr, Yasmine, Park, Jongsoo, Yang, Jiyan, Mudigere, Dheevatsa, Wen, Ellie
Learning feature interactions is important to the model performance of online advertising services. As a result, extensive efforts have been devoted to designing effective architectures to learn feature interactions. However, we observe that the prac
Externí odkaz:
http://arxiv.org/abs/2203.11014
Interpretation of deep learning models is a very challenging problem because of their large number of parameters, complex connections between nodes, and unintelligible feature representations. Despite this, many view interpretability as a key solutio
Externí odkaz:
http://arxiv.org/abs/2103.03103
Autor:
Jafari, Mohammad H., Luong, Christina, Tsang, Michael, Gu, Ang Nan, Van Woudenberg, Nathan, Rohling, Robert, Tsang, Teresa, Abolmaesumi, Purang
This paper presents U-LanD, a framework for joint detection of key frames and landmarks in videos. We tackle a specifically challenging problem, where training labels are noisy and highly sparse. U-LanD builds upon a pivotal observation: a deep Bayes
Externí odkaz:
http://arxiv.org/abs/2102.01586
In this paper we propose a novel human-centered approach for detecting forgery in face images, using dynamic prototypes as a form of visual explanations. Currently, most state-of-the-art deepfake detections are based on black-box models that process
Externí odkaz:
http://arxiv.org/abs/2006.15473
Recommendation is a prevalent application of machine learning that affects many users; therefore, it is important for recommender models to be accurate and interpretable. In this work, we propose a method to both interpret and augment the predictions
Externí odkaz:
http://arxiv.org/abs/2006.10966
Machine learning transparency calls for interpretable explanations of how inputs relate to predictions. Feature attribution is a way to analyze the impact of features on predictions. Feature interactions are the contextual dependence between features
Externí odkaz:
http://arxiv.org/abs/2006.10965
Autor:
Wang, Yale, Jay, Desmond, McLaurin, Brent, Lomboy, Carl, Allaqaband, Suhail, Jan, Fuad, Gummadi, Bharat, Litt, Marc, Garcia, Fidel, Singh, Jasvindar, Brown, Angela, Choi, James, Paul, Ashley, Sharp, Andrew, Coulson, James, Nanjundappa, Aravinda, Thakker, Ganpat, Campbell, James, Honton, Benjamin, Farah, Bruno, Patel, Manesh, Gutierrez, Antonio, Tyson, Crystal, Svetkey, Laura, Fudim, Marat, Pagidipati, Neha, Jones, Schuyler, Vemulapalli, Sreekanth, Devireddy, Chandan, Kulshreshtha, Ambar, Wells, Bryan, Lea, Janice, Batson, Bryan, Wilkins, Robert, Sharif, Faisal, Khair, Abdullahi Mohamed, Pallippattu, Abhishek Wilson, Alhmoudi, Aishah Matar, Gaffney, Brian, Cawley, Christian, Gorry, Colin, Hamed, Hanan, Carron, Jennifer, Birrane, John, Rosseel, Liesbeth, Lunardi, Mattia, Cronin, Michael, McKittrick, Myles, Almagal, Naeif, Khalid, Noman, Shehahd, Qussai, Shahzad, Shirjeel, Fezzi, Simone, Tyulkin, Stanislav, Bel, Xavier Armario, Jolly, Sanjit, Yip, Gordon, Schwalm, Jon-David, Tsang, Michael, Mehta, Shamir, Lurz, Philipp C., Binner, Christian, Obradovic, Danilo, Fahr, Florian, Richter, Ines, Rotta detto Loria, Johannes, Fengler, Karl, Rommel, Karl-Philipp, Cuartas, Mateo Marin, Lerche, Matthias, Hartung, Philipp, Münch, Phillip, Höllriegel, Robert, John, Silke, Otsuji, Satoru, Kusumoto, Hirofumi, Tamaru, Hiroto, Ishibuchi, Kasumi, Hasegawa, Katsuyuki, Sugimoto, Ken, Kakishita, Mikio, Ishii, Rui, Takiuchi, Shin, Yasuda, Shingo, Nakabayashi, Sho, Yamamoto, Wataru, Higashino, Yorihiko, Shimatani, Yuji, Taniguchi, Yusuke, Tsioufis, Konstantinos, Kasiakogias, Alexandros, Konstantinidis, Dimitris, Andrikou, Eirini, Konstantinou, Konstantinos, Dimitriadis, Kyriakos, Kalos, Theodoros, Cohen, Debbie, Rene, Garvey, Cohen, Jordana, Bonanni, Maria, Denker, Matthew, Wickramisinghe, Rasi, Wilensky, Robert, Kobayashi, Tai, Anjan, Venkatesh, Huan, Yonghong, Haught, Walter Herbert, Krasnow, Joshua, Vasquez, Alejandro, Gessler, Carl, Roth, Christopher, Drenning, David, Velasquez, Enrique, Soliman, George, Murphy, James, Jain, Kaushik, Butler, Michael, Kanitkar, Mihir, Laney, Phillip, Hunter, Ross, Cheng, Shi-Chi, Wright, Thomas, Chapman, Neil, Arnold, Ahran, Nowbar, Alexandra, Janmohamed, Azara, Corden, Ben, Cook, Christopher, Rajkumar, Christopher, Keene, Daniel, Thompson, David, Seligman, Henry, Howard, James, Davies, Justin, Sweeney, Mark, Shun-Shin, Matthew, Foley, Michael, Quaife, Nicholas, Al-Lamee, Rasha, Hadjiphilippou, Savvas, Sen, Sayan, Ahmad, Yousif, Kario, Kazuomi, Shimizu, Hayato, Waki, Hirotaka, Narita, Keisuke, Shimpo, Masahisa, Hoshide, Satoshi, Komori, Takahiro, Ogoyama, Yukako, Ogata, Yukiyo, Oba, Yusuke, Bisharat, Mohanned, Lishmanov, Anton, Jeffords, Travis, Ghali, Magdi, Chia, Beth, Onsrud, Rachel, Rough, Randolph, Aoki, Jiro, Tomii, Daijiro, Mori, Fumiko, Kikushima, Hosei, Ninomiya, Kai, Yahagi, Kazuyuki, Tanabe, Kengo, Nakamura, Kosuke, Komiyama, Kota, Nakase, Masaaki, Asami, Masahiko, Setoguchi, Naoto, Tanaka, Tetsu, Horiuchi, Yu, Watanabe, Yusuke, Feldman, Dmitriy, Bergman, Geoffrey, Sherifi, Ines, Kim, Luke, Amin, Nivee, Minutello, Robert, Wong, S. Chiu, McCullough, Stephen, D'Souza, Richard, Kurdi, Hibba, Statton, Sarah, Watkinson, Tony, Bertolet, Barry, Gupta, Amit, Blossom, Benjamin, Bell, Chris, Hill, Douglas, Sierra, Francisco, Johnson, James, Estess, John, Adams, Joseph, McDuffie, Katie, Ferguson, Lee, Little, Nelson, Ballard, Richard Dane, Williams, Roger, Ikeda, Wanda, Calhoun, William, Carroll, William, Singh, Avneet, Hirsh, Benjamin, Meraj, Perwaiz, Jauhar, Rajiv, Golwala, Harsh, Rueda, Jose, Graham, Kellie, Al-Hakim, Ramsey, Rope, Robert, Kandzari, David, Bahrami, Dariush, Reedus, Denise, David, Shukri, Rehman, Iram, Zakaria, Khalid, Choksi, Nishit, Kazziha, Samer, Kumar, Sarwan, Saba, Souheil, Steigerwalt, Susan, Sirajeldin, Yassir, Hyder, Omar, Aronow, Herbert, Connors, Andrea, Shemin, Douglas, Bent, Clare, Levy, Terry, Kodoth, Vivek, Schlaich, Markus, Kiuchi, Marcio, Carnagarin, Revathy, Shetty, Sharad, Torre, Sabino, Levitt, Howard, Chen, Lin, Fan, Sarah, Waxman, Sergio, Porr, Wendy, Mangos, George, Smyth, Brendan, Lane, Cathie, Sader, Mark, Patel, Kirit Kumar, Rao, Anjani, Milford, Brett, Ahluwalia, Guneet, Sennott, Jaqueline, Field, Justin, Jena, Nihar, Loree, Stacy, Graham, John, Al-Hesayen, Abdul, Bagai, Akshay, Shite, Junya, Kozuki, Amane, Suzuki, Atsushi, Masuko, Eri, Soga, Fumitaka, Asada, Hiroyuki, Shibata, Hiroyuki, Nagoshi, Ryoji, Fujiwara, Ryudo, Kyo, Shokan, Miyata, Tomohiro, Kijima, Yoichi, Weil, Joachim, Griesinger, Lena, Hafer, Lukas, Starick, Rene-Alexander, Keil, Sebastian, Agdirlioglu, Tolga, Desch, Udo, Saito, Shigeru, Koyama, Eiji, Yamanaka, Futoshi, Yokoyama, Hiroaki, Tobita, Kazuki, Shishido, Koki, Yamaguchi, Masashi, Murakami, Masato, Moriyama, Noriaki, Takahashi, Saeko, Mizuno, Shingo, Yokota, Shohei, Hayashi, Takahiro, Yamada, Takashi, Yamagishi, Tamiharu, Sugiyama, Yoichi, Mashimo, Yuka, Tamaki, Yusuke, Tanaka, Yutaka, Lee, David, Ma, Adrian, Yeung, Alan, Noel, Thomas, Umana, Ernesto, Katopodis, John, Dixon, William, Walton, Tony, Rischin, Adam, Chee, Adrian, Leaney, Alexandra, Fernando, Himavan, Hopper, Ingrid, Bloom, Jason, Fairley, Jessica, Stehli, Julia, Segan, Julian, Sharma, Meenal, Fitzgerald, Melissa, Papandony, Michelle, Whyler, Naomi, Noaman, Samer, Ali, Shazeea, Jefferson, Brian, Reyes, David, Johnston, Thomas, Böhm, Michael, Höfling, Alexander, Berger, Ann-Kathrin, Cremers, Bodo, Millenaar, Dominic, Mahfoud, Felix, Zivanovic, Ina, Lucic, Jelena, Dederer, Juliane, Lauder, Lucas, Fischer, Patrick, Kulenthiran, Saarraangan, Ewen, Sebastian, Bewarder, Yvonne, Schmieder, Roland, Bosch, Agnes, Schmid, Axel, Ott, Christian, Kannenkeril, Dennis, Akarca, Ertan, Kistner, Iris, Kolwelter, Julie, Bihlmaier, Karl, Striepe, Kristina, Karg, Marina, Günes-Altan, Merve, Anna Friedrich, Stefanie Sofia, Jung, Susanne, Dienemann, Thomas, Ziakas, Antonios, Kouparanis, Antonios, Pagiantza, Areti, Peteinidou, Emmanouela, Didagelos, Matthaios, Psochias, Polykarpos Akis, Shishehbor, Mehdi, Meade, Ashley, Linetsky, Elena, Robinson, Monique, Kotter, John, Ziada, Khaled, Bachinsky, William, Garton, Alex, Stuck, Jason, Papademetriou, Vasilios, Chung, Annise, Li, Ping, Nagpal, Sameer, Remetz, Michael, Shah, Samit, Lynch, Shannon, Kandzari, David E., Townsend, Raymond R., Weber, Michael A., Schmieder, Roland E., Pocock, Stuart, Konstantinidis, Dimitrios, East, Cara, Cohen, Debbie L., Kobayashi, Taisei, Lee, David P., Schlaich, Markus P., Devireddy, Chandan M., Sharp, Andrew S.P., Anderson, Richard, Fahy, Martin, DeBruin, Vanessa, Brar, Sandeep
Publikováno v:
In Journal of the American College of Cardiology 7 November 2023 82(19):1809-1823
