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  • 2024

    Artificial Intelligence in Fluorescence Lifetime Imaging Ophthalmoscopy (FLIO) Data Analysis—Toward Retinal Metabolic Diagnostics

    Thiemann, N., Sonntag, S. R., Kreikenbohm, M., Böhmerle, G., Stagge, J., Grisanti, S., Martinetz, T. & Miura, Y., 16.02.2024, In: Diagnostics. 14, 4, p. 431 431.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • 2023

    Chaos analysis of the cortical boundary for the recognition of psychosis

    Korda, A. I., Andreou, C., Avram, M., Frisman, M., Aliqadri, M., Riecher-Rössler, A., Handels, H., Martinetz, T. & Borgwardt, S., 2023, In: Journal of Psychiatry and Neuroscience. 48, 2, p. E135-E142

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Computer-aided classification of indirect immunofluorescence patterns on esophagus and split skin for the detection of autoimmune dermatoses

    Hocke, J., Krauth, J., Krause, C., Gerlach, S., Warnemünde, N., Affeldt, K., van Beek, N., Schmidt, E. & Voigt, J., 2023, In: Frontiers in Immunology. 14, p. 1111172 1111172.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    3 Citations (Scopus)
  • 2022

    Automated assessment of immunofixations with deep neural networks

    Thiemann, C., Klitzke, B., Martinetz, P., Grüning, P., Käster, T., Barth, E., Kramer, J. & Martinetz, T., 01.10.2022, In: Journal of Laboratory Medicine. 46, 5, p. 331-336 6 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • A walk in the black-box: 3D visualization of large neural networks in virtual reality

    Linse, C., Alshazly, H. & Martinetz, T., 12.2022, In: Neural Computing and Applications. 34, 23, p. 21237-21252 16 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Chaos analysis of the brain topology in first-episode psychosis and clinical high risk patients

    Korda, A. I., Andreou, C., Avram, M., Handels, H., Martinetz, T. & Borgwardt, S., 13.10.2022, In: Frontiers in Psychiatry. 13, 965128.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    2 Citations (Scopus)
  • Closed-loop acoustic stimulation during an afternoon nap to modulate subsequent encoding

    Koo-Poeggel, P., Neuwerk, S., Petersen, E., Grasshoff, J., Mölle, M., Martinetz, T. & Marshall, L., 12.2022, In: Journal of Sleep Research. 31, 6, e13734.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Differential thalamocortical interactions in slow and fast spindle generation: A computational model

    Mushtaq, M., Marshall, L., Bazhenov, M., Mölle, M. & Martinetz, T., 2022, In: PLoS ONE.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Ensemble Deep Learning and Internet of Things-Based Automated COVID-19 Diagnosis Framework

    Kini, A. S., Gopal Reddy, A. N., Kaur, M., Satheesh, S., Singh, J., Martinetz, T. & Alshazly, H., 2022, In: Contrast Media and Molecular Imaging. 2022, 7377502.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • FP-nets as novel deep networks inspired by vision

    Grüning, P., Martinetz, T. & Barth, E., 04.01.2022, In: Journal of Vision. 22, 1, p. 8 20 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Multi-centric European post-market follow-up study of the Neuroform Atlas Stent System: primary results

    ATLAS EU PMCF Investigators, 07.2022, In: Journal of neurointerventional surgery. 14, 7, p. 694-698 5 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    7 Citations (Scopus)
  • 2021

    A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells

    Mushtaq, M., Haq, R. U., Anwar, W., Marshall, L., Bazhenov, M., Zia, K., Alam, H., Hertel, L., Awan, A. A. & Martinetz, T., 12.2021, In: Bioengineered. 12, 1, p. 2603-2615 13 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans

    Alshazly, H., Linse, C., Abdalla, M., Barth, E. & Martinetz, T., 2021, In: PeerJ Computer Science. 7, p. 1-40 40 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    7 Citations (Scopus)
  • Decision-making about corticosteroids in relapses of multiple sclerosis – development of a questionnaire based on the theory of planned behaviour

    Haker, M., Heesen, C., Wenzel, L., Köpke, S., Rahn, A. C. & Kasper, J., 10.2021, In: Multiple Sclerosis and Related Disorders. 55, 103182.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Deep Learning to Decipher the Progression and Morphology of Axonal Degeneration

    Palumbo, A., Grüning, P., Landt, S. K., Heckmann, L. E., Bartram, L., Pabst, A., Flory, C., Ikhsan, M., Pietsch, S., Schulz, R., Kren, C., Koop, N., Boltze, J., Madany Mamlouk, A. & Zille, M., 25.09.2021, In: Cells. 10, 10

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Explainable COVID-19 detection using chest CT scans and deep learning

    Alshazly, H., Linse, C., Barth, E. & Martinetz, T., 11.01.2021, In: Sensors (Switzerland). 21, 2, p. 1-22 22 p., 455.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Towards Explainable Ear Recognition Systems Using Deep Residual Networks

    Alshazly, H., Linse, C., Barth, E., Idris, S. A. & Martinetz, T., 2021, In: IEEE Access. 9, p. 122254-122273 20 p., 9526589.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    4 Citations (Scopus)
  • 2020

    A Multi-Organ Nucleus Segmentation Challenge

    Kumar, N., Verma, R., Anand, D., Zhou, Y., Onder, O. F., Tsougenis, E., Chen, H., Heng, P. A., Li, J., Hu, Z., Wang, Y., Koohbanani, N. A., Jahanifar, M., Tajeddin, N. Z., Gooya, A., Rajpoot, N., Ren, X., Zhou, S., Wang, Q., Shen, D., & 67 othersYang, C. K., Weng, C. H., Yu, W. H., Yeh, C. Y., Yang, S., Xu, S., Yeung, P. H., Sun, P., Mahbod, A., Schaefer, G., Ellinger, I., Ecker, R., Smedby, O., Wang, C., Chidester, B., Ton, T. V., Tran, M. T., Ma, J., Do, M. N., Graham, S., Vu, Q. D., Kwak, J. T., Gunda, A., Chunduri, R., Hu, C., Zhou, X., Lotfi, D., Safdari, R., Kascenas, A., O'Neil, A., Eschweiler, D., Stegmaier, J., Cui, Y., Yin, B., Chen, K., Tian, X., Gruening, P., Barth, E., Arbel, E., Remer, I., Ben-Dor, A., Sirazitdinova, E., Kohl, M., Braunewell, S., Li, Y., Xie, X., Shen, L., Ma, J., Baksi, K. D., Khan, M. A., Choo, J., Colomer, A., Naranjo, V., Pei, L., Iftekharuddin, K. M., Roy, K., Bhattacharjee, D., Pedraza, A., Bueno, M. G., Devanathan, S., Radhakrishnan, S., Koduganty, P., Wu, Z., Cai, G., Liu, X., Wang, Y. & Sethi, A., 05.2020, In: IEEE Transactions on Medical Imaging. 39, 5, p. 1380-1391 12 p., 8880654.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    12 Citations (Scopus)
  • Brain tumor classification in MRI image using convolutional neural network

    Khan, H. A., Jue, W., Mushtaq, M. & Mushtaq, M., 15.09.2020, In: Mathematical Biosciences and Engineering. 17, 5, p. 6203-6216 14 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    2 Citations (Scopus)
  • Deep Convolutional Neural Networks for Unconstrained Ear Recognition

    Alshazly, H., Linse, C., Barth, E. & Martinetz, T., 14.09.2020, In: IEEE Access. 8, p. 170295-170310 16 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • EntireAxon: Deep learning deciphers four distinct patterns of axonal degeneration

    Palumbo, A., Grüning, P., Landt, S. K., Heckmann, L. E., Bartram, L., Pabst, A., Flory, C., Ikhsan, M., Pietsch, S., Schulz, R., Kren, C., Koop, N., Boltze, J., Mamlouk, A. M. & Zille, M., 2020, In: bioRxiv. p. 1-38 38 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Exhaustion of tumour-infiltrating T-cell receptor repertoire diversity is an age-dependent indicator of immunological fitness independently predictive of clinical outcome in Burkitt lymphoma

    Rieken, J., Bernard, V., Witte, H. M., Peter, W., Merz, H., Olschewski, V., Hertel, L., Lehnert, H., Biersack, H., von Bubnoff, N., Feller, A. C. & Gebauer, N., 2020, In: British Journal of Haematology.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Feature Products Yield Efficient Networks

    Grüning, P., Martinetz, T. & Barth, E., 19.08.2020, In: arXiv.org. 7 p.

    Research output: Journal ArticlesJournal articlesResearch

  • Following Forrest Gump: Smooth pursuit related brain activation during free movie viewing

    Agtzidis, I., Meyhöfer, I., Dorr, M. & Lencer, R., 01.08.2020, In: NeuroImage. 216, 116491.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • KI-SIGS: Artificial Intelligence for the Northern German Health Ecosystem

    Fischer, S., Leucker, M., Lüth, C., Martinetz, T., Mildner, R., Nowotka, D. & Steinicke, F., 01.2020, In: Digitale Welt. 4, 1, p. 49-54 6 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Stimulation augments spike sequence replay and memory consolidation during slow-wave sleep

    Wei, Y., Krishnan, G. P., Lisa Marshall, X., Martinetz, T. & Bazhenov, M., 22.01.2020, In: Journal of Neuroscience. 40, 4, p. 811-824 14 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    3 Citations (Scopus)
  • 2019

    Ensembles of deep learning models and transfer learning for ear recognition

    Alshazly, H., Linse, C., Barth, E. & Martinetz, T., 01.10.2019, In: Sensors (Switzerland). 19, 19, 4139.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    9 Citations (Scopus)
  • Free visual exploration of natural movies in schizophrenia

    Silberg, J. E., Agtzidis, I., Startsev, M., Fasshauer, T., Silling, K., Sprenger, A., Dorr, M. & Lencer, R., 01.06.2019, In: European Archives of Psychiatry and Clinical Neuroscience. 269, 4, p. 407-418 12 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Gene-diet interactions associated with complex trait variation in an advanced intercross outbred mouse line

    Vorobyev, A., Gupta, Y., Sezin, T., Koga, H., Bartsch, Y. C., Belheouane, M., Künzel, S., Sina, C., Schilf, P., Körber-Ahrens, H., Beltsiou, F., Lara Ernst, A., Khil'chenko, S., Al-Aasam, H., Manz, R. A., Diehl, S., Steinhaus, M., Jascholt, J., Kouki, P., Boehncke, W-H., & 10 othersMayadas, T. N., Zillikens, D., Sadik, C. D., Nishi, H., Ehlers, M., Möller, S., Bieber, K., Baines, J. F., Ibrahim, S. M. & Ludwig, R. J., 01.12.2019, In: Nature Communications. 10, 1, p. 4097 4097.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Handcrafted versus CNN features for ear recognition

    Alshazly, H., Linse, C., Barth, E. & Martinetz, T., 01.12.2019, In: Symmetry. 11, 12, 1493.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    2 Citations (Scopus)
  • 2018

    CD154 Costimulation Shifts the Local T-Cell Receptor Repertoire Not Only During Thymic Selection but Also During Peripheral T-Dependent Humoral Immune Responses

    Fähnrich, A., Klein, S., Sergé, A., Nyhoegen, C., Kombrink, S., Möller, S., Keller, K., Westermann, J. & Kalies, K., 2018, In: Frontiers in Immunology. 9, p. 1019

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Dimensional complexity of the resting brain in healthy aging, using a normalized MPSE

    Scheel, N., Franke, E., Münte, T. F. & Madany Mamlouk, A., 19.11.2018, In: Frontiers in Human Neuroscience. 12, 451.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low -dimensional shape representations

    Lucas, C., Kemmling, A., Bouteldja, N., Aulmann, L. F., Mamlouk, A. M. & Heinrich, M. P., 26.11.2018, In: Frontiers in Neurology. 9, NOV, 00989.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods

    Klein, O., Kanter, F., Kulbe, H., Jank, P., Denkert, C., Nebrich, G., Schmitt, W. D., Wu, Z., Kunze, C. A., Sehouli, J., Darb-Esfahani, S., Braicu, I., Lellmann, J., Thiele, H. & Taube, E. T., 24.11.2018, In: Proteomics - Clinical Applications. 1700181.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • On the efficiency of the genetic code after frameshift mutations

    Geyer, R. & Mamlouk, A. M., 21.05.2018, In: PeerJ. 2018, 5, e4825.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • 2017

    ClonoCalc and ClonoPlot: Immune repertoire analysis from raw files to publication figures with graphical user interface

    Fähnrich, A., Krebbel, M., Decker, N., Leucker, M., Lange, F. D., Kalies, K. & Möller, S., 11.03.2017, In: BMC Bioinformatics. 18, 1, 164.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    5 Citations (Scopus)
  • Critical care admission following elective surgery was not associated with survival benefit: prospective analysis of data from 27 countries

    Kahan, B. C., Koulenti, D., Arvaniti, K., Beavis, V., Campbell, D., Chan, M., Moreno, R., Pearse, R. M., Beattie, S., Clavien, PA., Demartines, N., Fleisher, LA., Grocott, M., Haddow, J., Hoeft, A., Holt, P., Pritchard, N., Rhodes, A., Wijeysundera, D., Wilson, M., & 2.463 othersAhmed, T., Everingham, K., Hewson, R., Januszewska, M., Phull, MK., Halliwell, R., Shulman, M., Myles, P., Schmid, W., Hiesmayr, M., Wouters, P., de Hert, S., Lobo, S., Fang, X., Rasmussen, L., Futier, E., Biais, M., Venara, A., Slim, K., Sander, M., Kulkarni, A., Chandra, S., Tantri, A., Geddoa, E., Abbas, M., Della Rocca, G., Sivasakthi, D., Mansor, M., Luna, P., Bouwman, A., Buhre, W., Short, T., Osinaike, T., Matos, R., Grigoras, I., Kirov, M., Protsenko, D., Biccard, BM., Aldecoa, C., Chew, M., Hofer, C., Hubner, M., Ditai, J., Szakmany, T., Ferguson, M., MacMahon, M., Cherian, R., Currow, H., Kanathiban, K., Gillespie, D., Pathmanathan, E., Phillips, K., Reynolds, J., Rowley, J., Douglas, J., Kerridge, R., Garg, S., Bennett, V., Jain, M., Alcock, D., Terblanche, N., Cotter, R., Leslie, K., Stewart, M., Zingerle, N., Clyde, A., Hambidge, O., Rehak, A., Cotterell, S., Binh Quan Huynh, W., McCulloch, T., Ben-Menachem, E., Egan, T., Cope, J., Fellinger, P., Haselberger, S., Holaubek, C., Lichtenegger, P., Scherz, F., Hoffer, F., Cakova, V., Eichwalder, A., Fischbach, N., Klug, R., Schneider, E., Vesely, M., Wickenhauser, R., Grubmueller, KG., Leitgeb, M., Lang, F., Toro, N., Bauer, M., Laengle, F., Mayrhofer, T., Buerkle, C., Forstner, K., Germann, R., Rinoesl, H., Schindler, E., Trampitsch, E., Fritsch, G., Szabo, C., Bidgoli, J., Verdoodt, H., Forget, P., Kahn, D., Lois, F., Momeni, M., Prégardien, C., Pospiech, A., Steyaert, A., Veevaete, L., De Kegel, D., De Jongh, K., Foubert, L., Smitz, C., Vercauteren, M., Poelaert, J., Van Mossevelde, V., Abeloos, J., Bouchez, S., Coppens, M., De Baerdemaeker, L., Deblaere, I., De Bruyne, A., Fonck, K., Heyse, B., Jacobs, T., Lapage, K., Moerman, A., Neckebroek, M., Parashchanka, A., Roels, N., Van Den Eynde, N., Vandenheuvel, M., Van Limmen, J., Vanluchene, A., Vanpeteghem, C., Wyffels, P., Huygens, C., Vandenbempt, P., Van de Velde, M., Dylst, D., Janssen, B., Schreurs, E., Aleixo, FB., Candido, K., Dias Batista, H., Guimarães, M., Guizeline, J., Hoffmann, J., Lobo, SM., Lobo, FR., Nascimento, V., Nishiyama, K., Pazetto, L., Souza, D., Souza Rodrigues, R., Vilela Dos Santos, A. M., Jardim, J., Silva, J., do Nascimento Junior, P., Baio, TH., Pereira de Castro, GI., Watanabe Oliveira, HR., Amendola, CP., Cardoso, G., Ortega, D., Brotto, AF., De Oliveira, MC., Réa-Neto, A., Dias, F., Azambuja, P., Knibel, MF., Martins, A., Almeida, W., Neto, CN., Tardelli, MA., Caser, E., Machado, M., Aguzzoli, C., Baldisserotto, S., Beck Tabajara, F., Bettega, F., Rodrigues Júnior, HC., de Gasperi, J., Faina, L., Nolasco, MF., da Costa Fischer, BF., de Campos Ferreira, MF., Hartmann, C., Kliemann, M., Ribeiro, GLH., Fraga, JM., Netto, TM., Pozza, LV., Wendling, PR., Azevedo, C., Garcia, J., Lopes, M., Maia, B., Maselli, P., Melo, R., Mendes, W., Neves, M., Ney, J., Piras, C., Applewhaite, C., Carr, A., Chow, L., Duttchen, K., Foglia, J., Greene, M., Hinther, A., Houston, K., McCormick, TJ., Mikhayel, J., Montasser, S., Ragan, A., Suen, A., Woolsey, A., Yu, HC., Funk, D., Kowalski, S., Legaspi, R., McDonald, H., Siddiqui, F., Pridham, J., Rowe, B., Sampson, S., Thiessen, B., Zbitnew, G., Bernard, A., George, R., Jones, P., Moor, R., Siddiqui, N., Wolfer, A., Tran, D., Winch, D., Dobson, G., McCormick, T., Montasser, O., Hall, R., Baghirzada, L., Dai, SY., Hare, G., Lee, E., Shastri, U., Tsui, A., Yagnik, A., Alvares, D., Choi, S., Dwyer, H., Flores, K., McCartney, C., Somascanthan, P., Carroll, J., Pazmino-Canizares, J., Ami, N., Chan, V., Perlas, A., Argue, R., Lavis, K., Mayson, K., Cao, Y., Gao, H., Hu, T., Lv, J., Yang, J., Yang, Y., Zhong, Y., Zhou, J., Zou, X., He, M., Li, X., Luo, D., Wang, H., Yu, T., Chen, L., Wang, L., Cai, Y., Cao, Z., Li, Y., Lian, J., Sun, H., Wang, S., Wang, Z., Wang, K., Zhu, Y., Du, X., Fan, H., Fu, Y., Huang, L., Huang, Y., Hwan, H., Luo, H., Qu, PS., Tao, F., Wang, G., Zhang, Y., Zhang, X., Chen, C., Wang, W., Liu, Z., Fan, L., Tang, J., Chen, Y., Han, Y., Huang, C., Liang, G., Shen, J., Wang, J., Yang, Q., Zhen, J., Zhou, H., Chen, J., Chen, Z., Meng, B., Ye, H., Bi, Y., Cao, J., Guo, F., Lin, H., Liu, Y., Lv, M., Shi, P., Song, X., Sun, C., Sun, Y., Wang, Y., Zhang, M., Chen, R., Hou, J., Leng, Y., Meng, QT., Qian, L., Shen, ZY., Xia, ZY., Xue, R., Zhao, B., Zhou, XJ., Chen, Q., Guo, H., Guo, Y., Qi, Y., Wei, J., Zhang, W., Zheng, L., Bao, Q., Fei, Y., Hu, N., Hu, X., Lei, M., Lv, X., Miao, F., Ouyang, L., Shen, C., Wang, D., Wu, C., Xu, L., Yuan, J., Zhang, L., Zhang, H., Zhao, J., Zhao, C., Zhao, L., Zheng, T., Zhou, D., Zhou, C., Lu, K., Zhao, T., He, C., Chen, H., Chen, S., Cheng, B., He, J., Jin, L., Li, C., Li, H., Pan, Y., Shi, Y., Wen, XH., Wu, S., Xie, G., Zhang, K., Lu, X., Chen, F., Liang, Q., Lin, X., Ling, Y., Liu, G., Tao, J., Yang, L., Feng, Y., Hou, B., Lin, J., Liu, M., Luo, F., Shi, X., Xiong, Y., Yang, S., Zhang, Q., Zhao, W., Bai, Y., Dai, Q., Geng, W., Han, K., He, X., Ji, B., Jia, D., Jin, S., Li, Q., Liang, D., Luo, S., Lwang, L., Mo, Y., Qi, X., Qian, M., Qin, J., Ren, Y., Xie, J., Yan, Y., Yao, Y., Zhuang, X., Ai, Y., Du, F., He, L., Li, Z., Li, L., Meng, S., Yuan, Y., Zhang, E., Zhang, J., Zhao, S., Ji, Z., Pei, L., Dong, B., Li, J., Miao, Z., Mu, H., Qin, C., Su, L., Wen, Z., Xie, K., Yu, Y., Yuan, F., Xiao, W., Zhu, Z., Fu, K., Hu, R., Huang, S., Liang, Y., Yu, S., Guo, Z., Jing, Y., Tang, N., Wu, J., Yuan, D., Zhang, R., Zhao, X., Bai, HP., Liu, CX., Liu, FF., Ren, W., Wang, XL., Xu, GJ., Li, B., Ou, Y., Tang, Y., Yao, S., Zhang, S., Kong, CC., Liu, B., Wang, T., Lu, B., Xia, Y., Cai, F., Chen, P., Hu, S., Xu, Q., Hu, L., Jing, L., Liu, Q., Peng, ZD., Qiu, X., Ren, Q., Tong, Y., Wen, Y., Wu, Q., Xia, J., Xiong, X., Xu, S., Yang, T., Yin, N., Zeng, Q., Zhang, B., Zheng, K., Cang, J., Fan, Y., Fu, S., Ge, X., Guo, B., Huang, W., Jiang, L., Jiang, X., Shan, Q., Wang, F., Christiansen, IC., Granum, SN., Rasmussen, BS., Daugaard, M., Gambhir, R., Steingrímsdóttir, GE., Jensen-Gadegaard, P., Olsen, KS., Siegel, H., Zwicky Eskildsen, K., Gätke, Wibrandt, I., Heintzelmann, SB., Lange, KHW., Lundsgaard, RS., Amstrup-Hansen, L., Hovendal, C., Larsen, M., Lenstrup, M., Kobborg, T., Larsen, JR., Pedersen, AB., Smith, SH., Oestervig, RM., Afshari, A., Andersen, C., Ekelund, K., Secher, EL., Brandsborg, B., Beloeil, H., Lasocki, S., Ouattara, A., Sineus, M., Molliex, S., Legouge, ML., Wallet, F., Tesniere, A., Gaudin, C., Lehur, P., Forsans, E., de Rudnicki, S., Serra Maudet, V., Mutter, D., Sojod, G., Ouaissi, M., Regimbeau, JM., Desbordes, J., Comptaer, N., El Manser, D., Ethgen, S., Lebuffe, G., Auer, P., Härtl, C., Deja, M., Legashov, K., Sonnemann, S., Wiegand-Loehnert, C., Falk, E., Habicher, M., Angermair, S., Laetsch, B., Schmidt, K., Von Heymann, C., Ramminger, A., Jelschen, F., Pabel, S., Weyland, A., Czeslick, E., Gille, J., Malcharek, M., Sablotzki, A., Lueke, K., Wetzel, P., Weimann, J., Lenhart, FP., Reichle, F., Schirmer, F., Hüppe, M., Klotz, K., Nau, C., Schön, J., Mencke, T., Wasmund, C., Bankewitz, C., Baumgarten, G., Fleischer, A., Guttenthaler, V., Hack, Y., Kirchgaessner, K., Männer, O., Schurig-Urbaniak, M., Struck, R., van Zyl, R., Wittmann, M., Goebel, U., Harris, S., Veit, S., Andreadaki, E., Souri, F., Katsiadramis, I., Skoufi, A., Vasileiou, M., Aimoniotou-Georgiou, E., Katsourakis, A., Veroniki, F., Vlachogianni, G., Petra, K., Chlorou, D., Oloktsidou, E., Ourailoglou, V., Papapostolou, K., Tsaousi, G., Daikou, P., Dedemadi, G., Kalaitzopoulos, I., Loumpias, C., Bristogiannis, S., Dafnios, N., Gkiokas, G., Kontis, E., Kozompoli, D., Papailia, A., Theodosopoulos, T., Bizios, C., Koutsikou, A., Moustaka, A., Plaitakis, I., Armaganidis, A., Christodoulopoulou, T., Lignos, M., Theodorakopoulou, M., Asimakos, A., Ischaki, E., Tsagkaraki, A., Zakynthinos, S., Antoniadou, E., Koutelidakis, I., Lathyris, D., Pozidou, I., Voloudakis, N., Dalamagka, M., Gkonezou, E., Chronis, C., Manolakaki, D., Mosxogiannidis, D., Slepova, T., Tsakiridou, IS., Lampiri, CL., Vachlioti, AV., Panagiotakis, CP., Sfyras, DS., Tsimpoukas, FT., Tsirogianni, A., Axioti, E., Filippopoulos, A., Kalliafa, E., Kassavetis, G., 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Sobol, J., Balajonda, N., Clemmons, K., Conde, C., Funk, B., Hall, R., Hopkins, T., Olaleye, O., Omer, O., Pender, M., Porto, A., Stevens, A., Waweru, P., Yeh, E., Bodansky, D., Evans, A., Kleopoulos, S., Maril, R., Mathney, E., Sanchez, A., Tinuoye, E., Bateman, B., Eng, K., Jiang, N., Ladha, K., Needleman, J., Lane, R., Robinowitz, D., Ghushe, N., Irshad, M., Patel, S., Takemoto, S., Wallace, A., Mazzeffi, M., Rock, P., Wallace, K., Zhu, X., Chua, P., Mattera, M., Sharar, R., Thilen, S., Treggiari, M., Morgan, A., Sofjan, I., Subramaniam, K., Avidan, M., Maybrier, H., Muench, M. & Wildes, T., 01.07.2017, In: Intensive Care Medicine. 43, 7, p. 971-979 9 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    87 Citations (Scopus)
  • Effects of anacetrapib in patients with atherosclerotic vascular disease

    HPS3/TIMI55–REVEAL Collaborative Group, 28.09.2017, In: New England Journal of Medicine. 377, 13, p. 1217-1227 11 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    687 Citations (Scopus)
  • Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition

    Lotz, J. M., Hoffmann, F., Lotz, J., Heldmann, S., Trede, D., Oetjen, J., Becker, M., Ernst, G., Maas, P., Alexandrov, T., Guntinas-Lichius, O., Thiele, H. & von Eggeling, F., 01.07.2017, In: Biochimica et Biophysica Acta - Proteins and Proteomics. 1865, 7, p. 946-956 11 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    5 Citations (Scopus)
  • PCI strategies in patients with acute myocardial infarction and cardiogenic shock

    Thiele, H., Akin, I., Sandri, M., Fuernau, G., De Waha, S., Meyer-Saraei, R., Nordbeck, P., Geisler, T., Landmesser, U., Skurk, C., Fach, A., Lapp, H., Piek, J. J., Noc, M., Goslar, T., Felix, S. B., Maier, L. S., Stepinska, J., Oldroyd, K., Serpytis, P., & 10 othersMontalescot, G., Barthelemy, O., Huber, K., Windecker, S., Savonitto, S., Torremante, P., Vrints, C., Schneider, S., Desch, S. & Zeymer, U., 21.12.2017, In: New England Journal of Medicine. 377, 25, p. 2419-2432 14 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    134 Citations (Scopus)
  • Using CNN features to better understand what makes visual artworks special

    Brachmann, A., Barth, E. & Redies, C., 23.05.2017, In: Frontiers in Psychology. 8, MAY, 830.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    12 Citations (Scopus)
  • 2016

    A novel measure to determine viewing priority and its neural correlates in the human brain

    Marsman, J. B. C., Cornelissen, F. W., Dorr, M., Vig, E., Barth, E. & Renken, R. J., 04.2016, In: Journal of Vision. 16, 6, 3.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    6 Citations (Scopus)
  • A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation

    Schellenberger Costa, M., Weigenand, A., Ngo, H. V. V., Marshall, L., Born, J., Martinetz, T. & Claussen, J. C., 01.09.2016, In: PLoS Computational Biology. 12, 9, p. 1-20 20 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    3 Citations (Scopus)
  • Autoconvolution for Unsupervised Feature Learning

    Knyazew, B., Barth, E. & Martinetz, T., 06.2016, In: CoRR. abs/1606.00611, 16 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

  • Dissecting genetics of cutaneous miRNA in a mouse model of an autoimmune blistering disease

    Gupta, Y., Möller, S., Witte, M., Belheouane, M., Sezin, T., Hirose, M., Vorobyev, A., Niesar, F., Bischof, J., Ludwig, R. J., Zillikens, D., Sadik, C. D., Restle, T., Häsler, R., Baines, J. F. & Ibrahim, S. M., 16.02.2016, In: BMC Genomics. 17, 1, 112.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    1 Citation (Scopus)
  • Hierarchical manifold sensing with foveation and adaptive partitioning of the dataset

    Burciu, I., Martinetz, T. & Barth, E., 01.03.2016, In: Journal of Imaging Science and Technology. 60, 2, p. 020402-1-020402-10 10 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    1 Citation (Scopus)
  • Learning Efficient Data Representations with Orthogonal Sparse Coding

    Schutze, H., Barth, E. & Martinetz, T., 01.09.2016, In: IEEE Transactions on Computational Imaging. 2, 3, p. 177-189 13 p., 7457290.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    1 Citation (Scopus)
  • Male-specific association between MT-ND4 11719 A/G polymorphism and ulcerative colitis: A mitochondria-wide genetic association study

    Dankowski, T., Schröder, T., Möller, S., Yu, X., Ellinghaus, D., Bär, F., Fellermann, K., Lehnert, H., Schreiber, S., Franke, A., Sina, C., Ibrahim, S. M. & König, I. R., 03.10.2016, In: BMC Gastroenterology. 16, 1, 118.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    5 Citations (Scopus)
  • Mitochondrial gene polymorphisms alter hepatic cellular energy metabolism and aggravate diet-induced non-alcoholic steatohepatitis

    Schröder, T., Kucharczyk, D., Bär, F., Pagel, R., Derer, S., Jendrek, S. T., Sünderhauf, A., Brethack, A. K., Hirose, M., Möller, S., Künstner, A., Bischof, J., Weyers, I., Heeren, J., Koczan, D., Schmid, S. M., Divanovic, S., Giles, D. A., Adamski, J., Fellermann, K., & 4 othersLehnert, H., Köhl, J., Ibrahim, S. & Sina, C., 01.04.2016, In: Molecular Metabolism. 5, 4, p. 283-295 13 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    15 Citations (Scopus)
  • Modeling the effect of sleep regulation on a neural mass model

    Costa, M. S., Born, J., Claussen, J. C. & Martinetz, T., 01.08.2016, In: Journal of Computational Neuroscience. 41, 1, p. 15-28 14 p.

    Research output: Journal ArticlesJournal articlesResearchpeer-review

    3 Citations (Scopus)