-
1تقرير
المؤلفون: Friis-Jensen, Ulrik, Johansen, Frederik L., Anker, Andy S., Dam, Erik B., Jensen, Kirsten M. Ø., Selvan, Raghavendra
المصدر: Friis-Jensen , U , Johansen , F L , Anker , A S , Dam , E B , Jensen , K M Ø & Selvan , R 2024 ' CHILI : Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning ' arxiv.org . < https://arxiv.org/abs/2402.13221Test >
وصف الملف: application/pdf
الإتاحة: https://curis.ku.dk/portal/da/publications/chiliTest(f7581253-7def-4a53-b1d5-6049553c36ea).html
https://curis.ku.dk/ws/files/383560378/2402.13221v2.pdfTest
https://arxiv.org/abs/2402.13221Test -
2دورية أكاديمية
المؤلفون: Selvan, Raghavendra, Bhagwat, Nikhil, Anthony, Lasse F. Wolff, Kanding, Benjamin, Dam, Erik B.
المصدر: Selvan , R , Bhagwat , N , Anthony , L F W , Kanding , B & Dam , E B 2022 , Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis . in Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 : 25th International Conference Singapore, September 18–22, 2022 Proceedings, Part V . Springer , Lecture Notes in Computer Science , vol. 13435 , pp. 506–516 , 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 , Singapore , Singapore , 18/09/2022 . https://doi.org/10.1007/978-3-031-16443-9Test
وصف الملف: application/pdf
الإتاحة: https://doi.org/10.1007/978-3-031-16443-9Test
https://curis.ku.dk/portal/da/publications/carbon-footprint-of-selecting-and-training-deep-learning-models-for-medical-image-analysisTest(68c7cd36-9986-48d4-8c11-206c8b056196).html
https://curis.ku.dk/ws/files/322796003/Carbon_Footprint_of_Selecting_and_Training.pdfTest -
3تقرير
المؤلفون: Pandey, Sumit, Changdar, Satyasaran, Perslev, Mathias, Dam, Erik B
المصدر: Pandey , S , Changdar , S , Perslev , M & Dam , E B 2024 ' Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet ' .
وصف الملف: application/pdf
الإتاحة: https://curis.ku.dk/portal/da/publications/fully-automated-tumor-segmentation-for-brain-mri-data-using-multiplanner-unetTest(85125b38-ed9c-4c79-931a-1bbedec2a533).html
https://curis.ku.dk/ws/files/383560471/2401.06499v1.pdfTest -
4مؤتمر
المؤلفون: Selvan, Raghavendra, Ørting, Silas, Dam, Erik B
المصدر: Selvan , R , Ørting , S & Dam , E B 2020 , ' Multi-layered tensor networks for image classification ' , Paper presented at 1st Workshop on Quantum Tensor Networks in Machine Learning , Online , 11/12/2020 . < http://arxiv.org/pdf/2011.06982v1Test >
وصف الملف: application/pdf
-
5دورية أكاديمية
المؤلفون: Selvan, Raghavendra, Dam, Erik B., Rischel, Sofus, Sheng, Kaining, Nielsen, Mads, Pai, Akshay
المصدر: Selvan , R , Dam , E B , Rischel , S , Sheng , K , Nielsen , M & Pai , A 2020 , ' Lung Segmentation from Chest X-rays using Variational Data Imputation ' , OpenReview.net .
وصف الملف: application/pdf
الإتاحة: https://curis.ku.dk/portal/da/publications/lung-segmentation-from-chest-xrays-using-variational-data-imputationTest(1259f468-c852-4f3b-9694-1f2a70e23f8e).html
https://curis.ku.dk/ws/files/255780949/lung_segmentation_from_chest_x_rays_using_variational_data_imputation.pdfTest
https://openreview.net/forum?id=dlzQM28tq2WTest& -
6دورية أكاديمية
المؤلفون: Selvan, Raghavendra, Dam, Erik B
المصدر: Selvan , R & Dam , E B 2020 , Tensor Networks for Medical Image Classification . in International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada . PMLR , Proceedings of Machine Learning Research , vol. 121 , pp. 721-732 , MIDL 2020 : International Conference on Medical Imaging with Deep Learning , Montreal , Canada , 06/07/2020 . < http://arxiv.org/pdf/2004.10076v1Test >
الإتاحة: https://curis.ku.dk/portal/da/publications/tensor-networks-for-medical-image-classificationTest(a656ee33-f0b8-4e60-9808-d41498ce57ef).html
http://arxiv.org/pdf/2004.10076v1Test -
7دورية أكاديمية
المؤلفون: Selvan, Raghavendra, Ørting, Silas, Dam, Erik B
المصدر: Selvan , R , Ørting , S & Dam , E B 2021 , ' Locally orderless tensor networks for classifying two- and three-dimensional medical images ' , The Journal of Machine Learning for Biomedical Imaging , vol. 5 , no. SI , pp. 1-21 .
وصف الملف: application/pdf
الإتاحة: https://curis.ku.dk/portal/da/publications/locally-orderless-tensor-networks-for-classifying-two-and-threedimensional-medical-imagesTest(27df8677-e7b6-461f-809a-222144b860d5).html
https://curis.ku.dk/ws/files/323541533/2009.12280v1.pdfTest