7 results on '"Spicker D"'
Search Results
2. Tolerance of the MIMOSIS-1 CMOS Monolithic Active Pixel Sensor to ionizing radiation
- Author
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Darwish, H., primary, Andary, J., additional, Arnoldi-Meadows, B., additional, Artz, O., additional, Baudot, J., additional, Bertolone, G., additional, Besson, A., additional, Bialas, N., additional, Bugiel, R., additional, Claus, G., additional, Colledani, C., additional, Deveaux, M., additional, Dorokhov, A., additional, Dozière, G., additional, El Bitar, Z., additional, Fröhlich, I., additional, Goffe, M., additional, Hebermehl, F., additional, Himmi, A., additional, Hu-Guo, C., additional, Jaaskelainen, K., additional, Keller, O., additional, Koziel, M., additional, Matejcek, F., additional, Michel, J., additional, Morel, F., additional, Müntz, C., additional, Pham, H., additional, Schmidt, C.J., additional, Schreiber, S., additional, Specht, M., additional, Spicker, D., additional, Stroth, J., additional, Valin, I., additional, Weirich, R., additional, Zhao, Y., additional, and Winter, M., additional
- Published
- 2023
- Full Text
- View/download PDF
3. Results from single event effect tests with MIMOSIS-1
- Author
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Arnoldi-Meadows, B., primary, Andary, J., additional, Artz, O., additional, Baudot, J., additional, Bertolone, G., additional, Besson, A., additional, Bialas, N., additional, Bugiel, R., additional, Claus, G., additional, Colledani, C., additional, Darwish, H., additional, Deveaux, M., additional, Dorokhov, A., additional, Dozière, G., additional, El Bitar, Z., additional, Fröhlich, I., additional, Goffe, M., additional, Hebermehl, F., additional, Himmi, A., additional, Hu-Guo, C., additional, Jaaskelainen, K., additional, Keller, O., additional, Koziel, M., additional, Matejcek, F., additional, Michel, J., additional, Morel, F., additional, Müntz, C., additional, Pham, H., additional, Schmidt, C. J., additional, Schreiber, S., additional, Specht, M., additional, Spicker, D., additional, Stroth, J., additional, Valin, I., additional, Voss, K.-O., additional, Weirich, R., additional, Zhao, Y., additional, and Winter, M., additional
- Published
- 2023
- Full Text
- View/download PDF
4. CBM Collaboration
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Ablyazimov, T., primary, Adak, R.P., additional, Adler, A., additional, Agarwal, A., additional, Agarwal, K., additional, Ahammed, Z., additional, Ahmad, A., additional, Ahmad, F., additional, Ahmad, N., additional, Akindinov, A., additional, Akishin, P., additional, Akishina, V., additional, Al-Turany, M., additional, Alekseev, I., additional, Alexandrov, E., additional, Alexandrov, I., additional, Andronic, A., additional, Appelshäuser, H., additional, Argintaru, D., additional, Arnoldi-Meadows, B., additional, Atkin, E., additional, Azmi, M.D., additional, Baban, V., additional, Bähr, S., additional, Bajdel, M., additional, Balassa, G., additional, Balzer, M., additional, Baranova, N., additional, Bashir, S., additional, Baszczyk, M., additional, Bechtel, E., additional, Becker, J., additional, Becker, K.-H., additional, Becker, M., additional, Beckhoff, J., additional, Belogurov, S., additional, Belousov, A., additional, Bendarouach, J., additional, Bercuci, A., additional, Berendes, R., additional, Bertini, D., additional, Bertini, O., additional, Bezshyyko, O., additional, Bhaduri, P.P., additional, Bhasin, A., additional, Bhat, S.A., additional, Bhat, W.A., additional, Bhattacharjee, B., additional, Bhattacharyya, A., additional, Bhattacharyya, T.K., additional, Biswas, S., additional, Blank, T., additional, Blau, D., additional, Blume, C., additional, Brzychczyk, J., additional, Bus, T., additional, Bychkov, A., additional, Cãlin, M., additional, Caselle, M., additional, Chakrabarti, A., additional, Chatterjee, S., additional, Chattopadhyay, S., additional, Chaus, A., additional, Cherif, H., additional, Chudoba, P., additional, Clerkin, E., additional, Csanád, M., additional, Dahm, P., additional, Das, Supriya, additional, Susovan, Das, additional, de Cuveland, J., additional, Demanov, A., additional, Dementiev, D., additional, Deng, Wendi, additional, Deng, Zhi, additional, Deppe, H., additional, Deppner, I., additional, Derenovskaya, O., additional, Deveaux, M., additional, Ding, Zhiguo, additional, Dong, Sheng, additional, Dorenskaya, E., additional, Dorosz, P., additional, Dubey, A.K., additional, Dubla, A., additional, Dürr, M., additional, Elsha, V.V., additional, Emschermann, D., additional, Engel, H., additional, Eşanu, T., additional, Eschke, J., additional, Esen, M., additional, Fan, Xingming, additional, Fateev, O., additional, Feier-Riesen, C., additional, Feng, Sheng-Qin, additional, Fidorra, F., additional, Figuli, S.P.D., additional, Finogeev, D., additional, Fischer, P., additional, Flemming, H., additional, Förtsch, J., additional, Foka, P., additional, Frankenfeld, U., additional, Friese, V., additional, Friske, E., additional, Fröhlich, I., additional, Frühauf, J., additional, Galatyuk, T., additional, Ganai, R., additional, Gangopadhyay, G., additional, Gao, Xin, additional, Gasik, P., additional, Geßler, T., additional, Ghosh, C., additional, Ghosh, S.K., additional, Giang, D., additional, Gläßel, S., additional, Golinka-Bezshyyko, L., additional, Golosov, O., additional, Golovnya, S., additional, Golubeva, M., additional, Golubkov, D., additional, Gope, S., additional, Gorbunov, S., additional, Gorokhov, S., additional, Gottschalk, D., additional, Gryboś, P., additional, Guber, F., additional, Gumiński, M., additional, Gupta, A., additional, Gusakov, Yu., additional, Haas, R., additional, Han, Dong, additional, Hartmann, H., additional, He, Shu, additional, Hehner, J., additional, Heine, N., additional, Herrmann, N., additional, Heuser, J.M., additional, Höhne, C., additional, Holzmann, R., additional, Hu, Dongdong, additional, Huang, Guangming, additional, Huang, Xinjie, additional, Hutter, D., additional, Irfan, M., additional, Ivanishchev, D., additional, Ivanov, P., additional, Ivanov, Victor, additional, Ivanov, Vladimir, additional, Ivashkin, A., additional, Izvestnyy, A., additional, Jahan, H., additional, Janson, T., additional, Jash, A., additional, Jipa, A., additional, Kadenko, I., additional, Kähler, P., additional, Kämpfer, B., additional, Kampert, K.-H., additional, Kapell, R., additional, Karabowicz, R., additional, Kargin, N., additional, Karmanov, D., additional, Karpushkin, N., additional, Kashirin, E., additional, Kashyap, V.K.S., additional, Kasiński, K., additional, Kasprowicz, G., additional, Kazantsev, A., additional, Kebschull, U., additional, Kekelidze, G., additional, Khan, M.M., additional, Khan, S., additional, Khanzadeev, A., additional, Khasanov, F., additional, Kiryakov, A., additional, Kiš, M., additional, Kisel, I., additional, Kisel, P., additional, Kiselev, S., additional, Kiss, T., additional, Klaus, P., additional, Kłeczek, R., additional, Klein-Bösing, Ch., additional, Klochkov, V., additional, Kmon, P., additional, Koch, K., additional, Kochenda, L., additional, Koczoń, P., additional, Kohn, M., additional, Kolb, R., additional, Kolozhvari, A., additional, Komkov, B., additional, Korolev, M., additional, Korolko, I., additional, Kot, O., additional, Kotte, R., additional, Kovalchuk, O., additional, Koziel, M., additional, Kozlov, G., additional, Kozlov, V., additional, Kravtsov, P., additional, Kres, I., additional, Kresan, D., additional, Kruszewski, M., additional, Kryanev, A.V., additional, Kryshen, E., additional, Krzyżanowska, A., additional, Kucewicz, W., additional, Kudin, L., additional, Kudryashov, I., additional, Kugler, A., additional, Kuhl, P., additional, Kumar, Ajay, additional, Kumar, Ajit, additional, Kumar, L., additional, Kundu, S.K., additional, Kurepin, A., additional, Kurepin, N., additional, Kurilkin, P., additional, Kuznetsov, S., additional, Kyva, V., additional, Ladygin, V., additional, Lara, C., additional, Lavrik, E., additional, Lazanu, I., additional, Lebedev, A., additional, Lebedev, S., additional, Lebedeva, E., additional, Lehnert, J., additional, Leifels, Y., additional, Li, Chao, additional, Li, Yuanjing, additional, Lindenstruth, V., additional, Liu, Feng, additional, Lobanov, I., additional, Lobanova, E., additional, Löchner, S., additional, Loizeau, P.-A., additional, Łojek, K., additional, Lubynets, O., additional, Lucio Martínez, J.A., additional, Luo, Xiaofeng, additional, Lymanets, A., additional, Lyu, Pengfei, additional, Lyublev, N., additional, Ma, Jian-Hao, additional, Maevskaya, A., additional, Mahajan, S., additional, Maj, P., additional, Majka, Z., additional, Malakhov, A., additional, Malankin, E., additional, Malkevich, D., additional, Mallick, B., additional, Malyatina, O., additional, Mandal, M., additional, Manko, V., additional, Maragoto Rodriguez, O., additional, Marin Garcia, A.M., additional, Markert, J., additional, Matulewicz, T., additional, Mehta, S., additional, Merkin, M., additional, Meyer-Ahrens, A., additional, Michel, J., additional, Miedzik, P., additional, Mik, L., additional, Mikhailov, K., additional, Mikhaylov, V., additional, Militsija, V., additional, Mir, M.F., additional, Miskowiec, D., additional, Mohanty, B., additional, Momot, I., additional, Morgenweck, H., additional, Morhardt, T., additional, Morozov, S., additional, Mühlheim, D., additional, Müller, W.F.J., additional, Müntz, C., additional, Mukherjee, S., additional, Munkes, P., additional, Murin, Yu., additional, Nandy, E., additional, Naumann, L., additional, Nayak, T., additional, Nickels, F., additional, Niebur, W., additional, Nikulin, V., additional, Normanov, D., additional, Olar, A., additional, Otfinowski, P., additional, Otto, J.H., additional, Ovcharenko, E., additional, Pan, Liang-ming, additional, Panasenko, I., additional, Pandey, S., additional, Parfenov, P., additional, Parzhitskiy, S., additional, Patel, V., additional, Pauly, C., additional, Petráček, V., additional, Petri, M., additional, Petriş, M., additional, Petrovici, M., additional, Petukhov, O., additional, Pfeifer, D., additional, Pfistner, P., additional, Piasecki, K., additional, Pietraszko, J., additional, Pitsch, G., additional, Płaneta, R., additional, Plotnikov, V., additional, Plujko, V., additional, Pluta, J., additional, Poźniak, K., additional, Prasad, S.K., additional, Prokudin, M., additional, Prozorov, A., additional, Pugach, M., additional, Pugatch, V., additional, Puntke, A., additional, Querchfeld, S., additional, Radulescu, L., additional, Raha, S., additional, Raisig, P., additional, Raja, W., additional, Ramazanov, D., additional, Rautenberg, J., additional, Ray, R., additional, Redelbach, A., additional, Rehman, T., additional, Reinefeld, A., additional, Reshetin, A., additional, Ristea, C., additional, Ristea, O., additional, Rodriguez Rodriguez, A., additional, Roether, F., additional, Romaniuk, R., additional, Rost, A., additional, Rostchin, E., additional, Roy, A., additional, Roy, D., additional, Roy, S., additional, Rubio, E., additional, Rustamov, A., additional, Ryabov, Yu., additional, Sahoo, R., additional, Sahu, P.K., additional, Sahu, S.K., additional, Saini, J., additional, Salem, F., additional, Samanta, S., additional, Sambyal, S.S., additional, Samsonov, V., additional, Sander, O., additional, Sarangi, S., additional, Sau, S., additional, Schiaua, C., additional, Schintke, F., additional, Schmidt, C.J., additional, Schmidt, D., additional, Schmidt, H.R., additional, Schneider, P.M., additional, Schütt, T., additional, Seck, F., additional, Segal, I., additional, Selyuzhenkov, I., additional, Semennikov, A., additional, Sen, A., additional, Senger, A., additional, Senger, P., additional, Shabanov, A., additional, Shabunov, A., additional, Sharma, N., additional, Sheremetiev, A.D., additional, Shi, Shusu, additional, Shirinkin, S., additional, Shiroya, M., additional, Shitenkow, M., additional, Shumikhin, V., additional, Sibiryak, I., additional, Sidorenko, V., additional, Simon, C., additional, Simons, C., additional, Singh, A.K., additional, Singh, B.K., additional, Singh, C.P., additional, Singh, O., additional, Singh, R., additional, Singhal, V., additional, Škoda, L., additional, Smith, D., additional, Söhngen, Y., additional, Som, I., additional, Spicker, D., additional, Stach, D., additional, Staszel, P., additional, Storozhyk, D., additional, Strikhanov, M., additional, Stroth, J., additional, Stüllein, C., additional, Sturm, C., additional, Su, Yuan, additional, Sukhov, N., additional, Sultanov, R., additional, Sun, Yongjie, additional, Sun, Zhengyang, additional, Svirida, D., additional, Szczygieł, R., additional, Taranenko, A., additional, Tarassenkova, O., additional, Tölyhi, T., additional, Toia, A., additional, Topil'skaya, N., additional, Träger, M., additional, Traxler, M., additional, Trifonova, E., additional, Tsyupa, Yu., additional, Tuturas, N.G., additional, Uhlig, F., additional, Unger, K.L., additional, Usenko, E., additional, Varga, D., additional, Vassiliev, I., additional, Vasylyev, O., additional, Visinka, R., additional, Völkl, M., additional, Volkova, E., additional, Vorobiev, A., additional, Voronin, A., additional, Wahmes, L., additional, Wang, Botan, additional, Wang, Dong, additional, Wang, Tianxing, additional, Wang, Xinjian, additional, Wang, Yi, additional, Weber, A.A., additional, Weber, M., additional, Weidenkaff, P., additional, Weiglhofer, F., additional, Wessels, J.P., additional, Wielanek, D., additional, Wieloch, A., additional, Wilms, A., additional, Wójcik, D., additional, Wolf, Gy., additional, Wu, Ke-Jun, additional, Wu, Qiqi, additional, Yang, Junfeng, additional, Yang, Rongxing, additional, Yin, Zhongbao, additional, Yoo, In-Kwon, additional, Yuan, Jianhui, additional, Yushmanov, I., additional, Zabołotny, W., additional, Zaitsev, Yu., additional, Zamiatin, N.I., additional, Zbroszczyk, H., additional, Zhalov, M., additional, Zhang, Qiunan, additional, Zhang, Xiaoming, additional, Zhang, Yu, additional, Zhao, Yan-Qing, additional, Zheng, Sheng, additional, Zhou, Daicui, additional, Zhou, Jian, additional, Zhou, Wenxiong, additional, Zhu, Xianglei, additional, Zinchenko, A., additional, Zivko, I., additional, Żoładź, M., additional, Zorn, F., additional, Zubrzycka, W., additional, Zumbruch, P., additional, and Zyzak, M., additional
- Published
- 2021
- Full Text
- View/download PDF
5. Challenges for Predictive Modeling With Neural Network Techniques Using Error-Prone Dietary Intake Data.
- Author
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Spicker D, Nazemi A, Hutchinson J, Fieguth P, Kirkpatrick S, Wallace M, and Dodd KW
- Subjects
- Humans, Models, Statistical, Machine Learning, Computer Simulation, Neural Networks, Computer, Diet
- Abstract
Dietary intake data are routinely drawn upon to explore diet-health relationships, and inform clinical practice and public health. However, these data are almost always subject to measurement error, distorting true diet-health relationships. Beyond measurement error, there are likely complex synergistic and sometimes antagonistic interactions between different dietary components, complicating the relationships between diet and health outcomes. Flexible models are required to capture the nuance that these complex interactions introduce. This complexity makes research on diet-health relationships an appealing candidate for the application of modern machine learning techniques, and in particular, neural networks. Neural networks are computational models that can capture highly complex, nonlinear relationships, so long as sufficient data are available. While these models have been applied in many domains, the impacts of measurement error on the performance of predictive modeling have not been widely investigated. In this work, we demonstrate the ways in which measurement error erodes the performance of neural networks and illustrate the care that is required for leveraging these models in the presence of error. We demonstrate the role that sample size and replicate measurements play in model performance, indicate a motivation for the investigation of transformations to additivity, and illustrate the caution required to prevent model overfitting. While the past performance of neural networks across various domains makes them an attractive candidate for examining diet-health relationships, our work demonstrates that substantial care and further methodological development are both required to observe increased predictive performance when applying these techniques compared to more traditional statistical procedures., (© 2025 The Author(s). Statistics in Medicine published by John Wiley & Sons Ltd.)
- Published
- 2025
- Full Text
- View/download PDF
6. Differentially Private Outcome-Weighted Learning for Optimal Dynamic Treatment Regime Estimation.
- Author
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Spicker D, Moodie EEM, and Shortreed SM
- Abstract
Precision medicine is a framework for developing evidence-based medical recommendations that seeks to determine the optimal sequence of treatments tailored to all of the relevant patient-level characteristics which are observable. Because precision medicine relies on highly sensitive, patient-level data, ensuring the privacy of participants is of great importance. Dynamic treatment regimes (DTRs) provide one formalization of precision medicine in a longitudinal setting. Outcome-Weighted Learning (OWL) is a family of techniques for estimating optimal DTRs based on observational data. OWL techniques leverage support vector machine (SVM) classifiers in order to perform estimation. SVMs perform classification based on a set of influential points in the data known as support vectors. The classification rule produced by SVMs often requires direct access to the support vectors. Thus, releasing a treatment policy estimated with OWL requires the release of patient data for a subset of patients in the sample. As a result, the classification rules from SVMs constitute a severe privacy violation for those individuals whose data comprise the support vectors. This privacy violation is a major concern, particularly in light of the potentially highly sensitive medical data which are used in DTR estimation. Differential privacy has emerged as a mathematical framework for ensuring the privacy of individual-level data, with provable guarantees on the likelihood that individual characteristics can be determined by an adversary. We provide the first investigation of differential privacy in the context of DTRs and provide a differentially private OWL estimator, with theoretical results allowing us to quantify the cost of privacy in terms of the accuracy of the private estimators.
- Published
- 2024
- Full Text
- View/download PDF
7. Measurement error and precision medicine: Error-prone tailoring covariates in dynamic treatment regimes.
- Author
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Spicker D and Wallace MP
- Subjects
- Computer Simulation, Humans, Longitudinal Studies, Models, Statistical, Precision Medicine
- Abstract
Precision medicine incorporates patient-level covariates to tailor treatment decisions, seeking to improve outcomes. In longitudinal studies with time-varying covariates and sequential treatment decisions, precision medicine can be formalized with dynamic treatment regimes (DTRs): sequences of covariate-dependent treatment rules. To date, the precision medicine literature has not addressed a ubiquitous concern in health research-measurement error-where observed data deviate from the truth. We discuss the consequences of ignoring measurement error in the context of DTRs, focusing on challenges unique to precision medicine. We show-through simulation and theoretical results-that relatively simple measurement error correction techniques can lead to substantial improvements over uncorrected analyses, and apply these findings to the sequenced treatment alternatives to relieve depression study., (© 2020 John Wiley & Sons, Ltd.)
- Published
- 2020
- Full Text
- View/download PDF
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