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2024
Mark From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
Martinsson, John ^LU ; Mogren, Olof ; Sandsten, Maria ^LU and Virtanen, Tuomas (2024) 32nd European Signal Processing Conference
(EUSIPCO 2024) p.902-906
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast
Lamy, Jérôme ; Gonzales, Ricardo A. ; Xiang, Jie ; Seemann, Felicia ; Huber, Steffen ; Steele, Jeremy ; Wieben, Oliver ; Heiberg, Einar ^LU and Peters, Dana C. (2024) In Magnetic Resonance in Medicine 92(5). p.1838-1850
- Contribution to journal › Article
Mark DMEL: THE DIFFERENTIABLE LOG-MEL SPECTROGRAM AS A TRAINABLE LAYER IN NEURAL NETWORKS
Martinsson, John ^LU and Sandsten, Maria ^LU (2024) 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings p.5005-5009
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models
Sandelius, Carl ^LU ; Pappas, Athanasios ^LU ; Sarkheyli-H Ä Gele, Arezoo ; Heuer, Andreas ^LU and Johnsson, Magnus (2024) 16th International Joint Conference on Computational Intelligence, IJCCI 2024 p.613-620
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China
Chen, Zixuan ; Wang, Guojie ; Wei, Xikun ; Liu, Yi ; Duan, Zheng ^LU ; Hu, Yifan and Jiang, Huiyan (2024) In Atmosphere 15(2).
- Contribution to journal › Article
Mark BioBERT_HUNER_v2 models
Aits, Sonja ^LU and Ahmed, Rafsan ^LU (2024)
- Non-textual form › Software
Mark EasyNER: A Customizable and Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text [Software]
Ahmed, Rafsan ^LU ; Aits, Sonja ^LU ; Kazemi Rashed, Salma ^LU ; Nugues, Pierre ^LU ; Lamarca, Antton ^LU ; Berntsson, Peter ; Skafte, Alexander ; Klang, Marcus ^LU ; Olde, Ola and Barvesten, Adam , et al. (2024)
- Non-textual form › Software
2023
Mark Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
Allesøe, R.L. ; Ridderstråle, M. ^LU ; Giordano, G.N. ^LU ; Franks, P.W. ^LU ; Groop, L. ^LU ; Pasdar, N.A. ; Fitipaldi, H. ^LU ; Kurbasic, A. ^LU ; Mutie, P. ^LU and Pomares-Millan, H. ^LU , et al. (2023) In Nature Biotechnology
- Contribution to journal › Article
Mark Deep label fusion : A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation
Xie, Long ; Wisse, Laura E.M. ^LU ; Wang, Jiancong ; Ravikumar, Sadhana ; Khandelwal, Pulkit ; Glenn, Trevor ; Luther, Anica ; Lim, Sydney ; Wolk, David A. and Yushkevich, Paul A. (2023) In Medical Image Analysis 83.
- Contribution to journal › Article
Mark Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
Kucukdemirci, Melda ^LU ; Landeschi, Giacomo ^LU ; Ohlsson, Mattias ^LU and Dell'Unto, Nicolo ^LU (2023) In Archaeological Prospection 30(2). p.209-219
- Contribution to journal › Article

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