REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Autor: Orlando, José Ignacio, Fu, Huazhu, Breda, João Barbossa, van Keer, Karel, Bathula, Deepti R., Diaz-Pinto, Andrés, Fang, Ruogu, Heng, Pheng-Ann, Kim, Jeyoung, Lee, JoonHo, Lee, Joonseok, Li, Xiaoxiao, Liu, Peng, Lu, Shuai, Murugesan, Balamurali, Naranjo, Valery, Phaye, Sai Samarth R., Shankaranarayana, Sharath M., Sikka, Apoorva, Son, Jaemin, Hengel, Anton van den, Wang, Shujun, Wu, Junyan, Wu, Zifeng, Xu, Guanghui, Xu, Yongli, Yin, Pengshuai, Li, Fei, Zhang, Xiulan, Xu, Yanwu, Bogunović, Hrvoje

Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modality to screen for retinal disorders. However, its application to glauco

Externí odkaz: http://arxiv.org/abs/1910.03667

Dense and Diverse Capsule Networks: Making the Capsules Learn Better

Autor: Phaye, Sai Samarth R, Sikka, Apoorva, Dhall, Abhinav, Bathula, Deepti

Past few years have witnessed exponential growth of interest in deep learning methodologies with rapidly improving accuracies and reduced computational complexity. In particular, architectures using Convolutional Neural Networks (CNNs) have produced

Externí odkaz: http://arxiv.org/abs/1805.04001

Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks

Autor: Sikka, Apoorva, Jamalabadi, Hamidreza, Krylova, Marina, Alizadeh, Sarah, van der Meer, Johan N., Danyeli, Lena, Deliano, Matthias, Vicheva, Petya, Hahn, Tim, Koenig, Thomas, Bathula, Deepti, Walter, Martin

Publikováno v: Sikka, Apoorva; Jamalabadi, Hamidreza; Krylova, Marina; Alizadeh, Sarah; van der Meer, Johan N; Danyeli, Lena; Deliano, Matthias; Vicheva, Petya; Hahn, Tim; König, Thomas; Bathula, Deepti R; Walter, Martin (2020). Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks. Human brain mapping, 41(9), pp. 2334-2346. Wiley-Blackwell 10.1002/hbm.24949
Human Brain Mapping
Human brain mapping, 41(9):2334-2346

Electroencephalogram (EEG) microstates that represent quasi‐stable, global neuronal activity are considered as the building blocks of brain dynamics. Therefore, the analysis of microstate sequences is a promising approach to understand fast brain d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06f9178809ca8716b9a8dd9359a2770d

Supervised deep segmentation network for brain extraction.

Autor: Sikka, Apoorva, Mittal, Gaurav, Bathula, Deepti R., Krishnan, Narayanan C.

Publikováno v: ACM International Conference Proceeding Series; 12/18/2016, p1-8, 8p

Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks.

Autor: Sikka A; Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India., Jamalabadi H; Department of Psychiatry and Psychotherapy, Division for Translational Psychiatry, University of Tübingen, Tübingen, Germany., Krylova M; Department of Psychiatry and Psychotherapy, Division for Translational Psychiatry, University of Tübingen, Tübingen, Germany., Alizadeh S; Department of Psychiatry and Psychotherapy, Division for Translational Psychiatry, University of Tübingen, Tübingen, Germany., van der Meer JN; QIMR Berghofer Medical Research Institute, Brisbane, Australia., Danyeli L; Clinical Affective Neuroimaging Laboratory, Magdeburg, Germany.; Leibniz Institute for Neurobiology, Magdeburg, Germany., Deliano M; Leibniz Institute for Neurobiology, Magdeburg, Germany., Vicheva P; Clinical Affective Neuroimaging Laboratory, Magdeburg, Germany.; Department of Psychiatry, Otto von Guericke University of Magdeburg, Magdeburg, Germany., Hahn T; Institute of Translational Psychiatry, University of Muenster, Muenster, Germany., Koenig T; Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland., Bathula DR; Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India., Walter M; Department of Psychiatry and Psychotherapy, Division for Translational Psychiatry, University of Tübingen, Tübingen, Germany.; Clinical Affective Neuroimaging Laboratory, Magdeburg, Germany.; Leibniz Institute for Neurobiology, Magdeburg, Germany.; Max Planck Institute for biological cybernetics, Tübingen, Germany.; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.

Publikováno v: Human brain mapping [Hum Brain Mapp] 2020 Jun 15; Vol. 41 (9), pp. 2334-2346. Date of Electronic Publication: 2020 Feb 24.