Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark von Link, Katherine E., Schnurman, Zane, Liu, Chris, Kwon, Young Joon (Fred), Jiang, Lavender Yao, Nasir-Moin, Mustafa, Neifert, Sean, Alzate, Juan Diego, Bernstein, Kenneth, Qu, Tanxia, Chen, Viola, Yang, Eunice, Golfinos, John G., Orringer, Daniel, Kondziolka, Douglas, Oermann, Eric Karl

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Health system-scale language models are all-purpose prediction engines von Jiang, Lavender Yao, Liu, Xujin Chris, Nejatian, Nima Pour, Nasir-Moin, Mustafa, Wang, Duo, Abidin, Anas, Eaton, Kevin, Riina, Howard Antony, Laufer, Ilya, Punjabi, Paawan, Miceli, Madeline, Kim, Nora C., Orillac, Cordelia, Schnurman, Zane, Livia, Christopher, Weiss, Hannah, Kurland, David, Neifert, Sean, Dastagirzada, Yosef, Kondziolka, Douglas, Cheung, Alexander T. M., Yang, Grace, Cao, Ming, Flores, Mona, Costa, Anthony B., Aphinyanaphongs, Yindalon, Cho, Kyunghyun, Oermann, Eric Karl

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Medical large language models are vulnerable to data-poisoning attacks von Alber, Daniel Alexander, Yang, Zihao, Alyakin, Anton, Yang, Eunice, Rai, Sumedha, Valliani, Aly A, Zhang, Jeff, Rosenbaum, Gabriel R, Amend-Thomas, Ashley K, Kurland, David B, Kremer, Caroline M, Eremiev, Alexander, Negash, Bruck, Wiggan, Daniel D, Nakatsuka, Michelle A, Sangwon, Karl L, Neifert, Sean N, Khan, Hammad A, Save, Akshay Vinod, Palla, Adhith, Grin, Eric A, Hedman, Monika, Nasir-Moin, Mustafa, Liu, Xujin Chris, Jiang, Lavender Yao, Mankowski, Michal A, Segev, Dorry L, Aphinyanaphongs, Yindalon, Riina, Howard A, Golfinos, John G, Orringer, Daniel A, Kondziolka, Douglas, Oermann, Eric Karl

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Refining Packing and Shuffling Strategies for Enhanced Performance in Generative Language Models von Chen, Yanbing, Wang, Ruilin, Yang, Zihao, Jiang, Lavender Yao, Oermann, Eric Karl

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Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model von Rahman, Salman, Jiang, Lavender Yao, Gabriel, Saadia, Aphinyanaphongs, Yindalon, Oermann, Eric Karl, Chunara, Rumi

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Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section von Zheng, Hongyi, Zhu, Yixin, Jiang, Lavender Yao, Cho, Kyunghyun, Oermann, Eric Karl

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MedG-KRP: Medical Graph Knowledge Representation Probing von Rosenbaum, Gabriel R, Jiang, Lavender Yao, Sheth, Ivaxi, Stryker, Jaden, Alyakin, Anton, Alber, Daniel Alexander, Goff, Nicolas K, Kwon, Young Joon Fred, Markert, John, Nasir-Moin, Mustafa, Niehues, Jan Moritz, Sangwon, Karl L, Yang, Eunice, Oermann, Eric Karl

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Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction von Yang, Grace, Cao, Ming, Jiang, Lavender Y, Liu, Xujin C, Cheung, Alexander T. M, Weiss, Hannah, Kurland, David, Cho, Kyunghyun, Oermann, Eric K

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Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification von Jiang, Lavender Yao, Shi, John, Cheung, Mark, Wright, Oren, Moura, José M. F

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Pooling in Graph Convolutional Neural Networks von Cheung, Mark, Shi, John, Jiang, Lavender Yao, Wright, Oren, Moura, José M. F

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Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology von Cheung, Mark, Shi, John, Wright, Oren, Jiang, Lavender Y, Liu, Xujin, Moura, José M F

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SYSTEM AND METHOD FOR DEEP LEARNING FOR TRACKING CORTICAL SPREADING DEPRESSION USING EEG von VOGT, Kimon, MOURA, Jose, LIU, Xujin, JIANG, Lavender, CHAMANZAR, Alireza, GROVER, Pulkit

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Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction von Yang, Grace, Cao, Ming, Jiang, Lavender Y, Liu, Xujin C, Cheung, Alexander T M, Weiss, Hannah, Kurland, David, Cho, Kyunghyun, Oermann, Eric K

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Refining Packing and Shuffling Strategies for Enhanced Performance in Generative Language Models von Chen, Yanbing, Wang, Ruilin, Yang, Zihao, Lavender Yao Jiang, Oermann, Eric Karl

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Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model von Rahman, Salman, Lavender Yao Jiang, Gabriel, Saadia, Aphinyanaphongs, Yindalon, Oermann, Eric Karl, Chunara, Rumi

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Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section von Zheng, Hongyi, Zhu, Yixin, Lavender Yao Jiang, Cho, Kyunghyun, Oermann, Eric Karl

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Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification von Lavender Yao Jiang, Shi, John, Cheung, Mark, Wright, Oren, Moura, José M F

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Pooling in Graph Convolutional Neural Networks von Cheung, Mark, Shi, John, Lavender Yao Jiang, Wright, Oren, Moura, José M F

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Multiple Micellization and Dissociation Transitions of Thermo- and Light-Sensitive Poly(ethylene oxide)-b-poly(ethoxytri(ethylene glycol) acrylate-co-o-nitrobenzyl acrylate) in Wat... von Jiang, Xueguang, Lavender, Christopher A, Woodcock, Jeremiah W, Zhao, Bin

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One‐Step Formation of Protein‐Based Tubular Structures for Functional Devices and Tissues von Gao, Wuyang, Vaezzadeh, Nima, Chow, Kelvin, Chen, Haotian, Lavender, Patricia, Jeronimo, Mark D., McAllister, Arianna, Laselva, Onofrio, Jiang, Jia‐Xin, Gage, Blair K., Ogawa, Shinichiro, Ramchandran, Arun, Bear, Christine E., Keller, Gordon M., Günther, Axel

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