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2020
Mark Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
Olsson, Alexander E. ^LU ; Björkman, Anders ^LU and Antfolk, Christian ^LU (2020) In Computers in Biology and Medicine 120.
- Contribution to journal › Article
Mark A deep learning pipeline for identification of motor units in musculoskeletal ultrasound
Ali, Hazrat ; Umander, Johannes ; Rohlén, Robin ^LU and Grönlund, Christer (2020) In IEEE Access 8. p.170595-170608
- Contribution to journal › Article
Mark A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
Jiao, Wei ; Atwal, Gurnit ; Polak, Paz ; Karlic, Rosa ; Cuppen, Edwin ; Danyi, Alexandra ; de Ridder, Jeroen ; van Herpen, Carla ; Lolkema, Martijn P and Steeghs, Neeltje , et al. (2020) In Nature Communications 11.
- Contribution to journal › Article
2019
Mark Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
Rodriguez-Ruiz, Alejandro ; Lång, Kristina ^LU ; Gubern-Merida, Albert ; Teuwen, Jonas ; Broeders, Mireille ; Gennaro, Gisella ; Clauser, Paola ; Helbich, Thomas H. ; Chevalier, Margarita and Mertelmeier, Thomas , et al. (2019) In European Radiology 29(9). p.4825-4832
- Contribution to journal › Article
Mark Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
Tall, Kasper ; Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Åström, Karl ^LU and Heyden, Anders ^LU (2019) Medical Imaging 2019: Physics of Medical Imaging 10956.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Comparison of different augmentation techniques for improved generalization performance for gleason grading
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Astrom, Kalle ^LU and Heyden, Anders ^LU (2019) 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 p.923-927
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark PTPD : Predicting therapeutic peptides by deep learning and word2vec
Wu, Chuanyan ^LU ; Gao, Rui ; Zhang, Yusen and De Marinis, Yang ^LU (2019) In BMC Bioinformatics 20(1).
- Contribution to journal › Article
Mark Statistical inference with deep latent variable models
Abiri, Najmeh ^LU (2019)
- Thesis › Doctoral thesis (compilation)
Mark Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Abiri, Najmeh ^LU ; Linse, Björn ^LU ; Edén, Patrik ^LU and Ohlsson, Mattias ^LU (2019) In Neurocomputing 365. p.137-146
- Contribution to journal › Article
Mark Statistical inference and time-frequency estimation for non-stationary signal classification
Anderson, Rachele ^LU (2019) In Doctoral Theses in Mathematical Sciences 2019(5).
- Thesis › Doctoral thesis (compilation)

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