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- 2026
-
Mark
Attacking Single-Cycle Ciphers on Modern FPGAs : Featuring Explainable Deep Learning
(2026) Satellite Workshops held in parallel with the 23rd International Conference on Applied Cryptography and Network Security, ACNS 2025 In Lecture Notes in Computer Science 15653 LNCS. p.22-39
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2025
-
Mark
Generalizable deep learning framework for 3D medical image segmentation using limited training data
Ekman, Tobias LU ; Barakat, Arthur LU and Heiberg, Einar LU
(2025)
In 3D Printing in Medicine
11(1).
- Contribution to journal › Article
-
Mark
Deep learning model for drought prediction based on large-scale spatial causal network in the Yangtze River Basin
- Contribution to journal › Article
-
Mark
Evaluation of the Ability of Machine Learning-Models to Assess Postural Orientation Errors During a Single-Leg Squat
Älmqvist Nae, Jenny LU
; Banega, Mauri
; Kronström, Filip
; Jakobsson, Andreas
LU
and Ageberg, Eva
LU
(2025)
In Journal of orthopedic and sports physical therapy methods
1(1).
p.17-29
- Contribution to journal › Article
-
Mark
Advances in machine learning for the detection and characterization of microplastics in the environment
Khanam, M. Maksuda ; Uddin, M. Khabir and Kazi, Julhash U. LU
(2025)
In Frontiers in Environmental Science
13.
- Contribution to journal › Scientific review
-
Mark
LEyes : A lightweight framework for deep learning-based eye tracking using synthetic eye images
Byrne, Sean Anthony ; Maquiling, Virmarie ; Nyström, Marcus LU
; Kasneci, Enkelejda
and Niehorster, Diederick C
LU
(2025)
In Behavior Research Methods
57.
- Contribution to journal › Article
-
Mark
Risk assessment in suspected acute coronary syndrome with decision support tools and artificial intelligence
(2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
-
Mark
Canopy height and biomass distribution across the forests of Iberian Peninsula
Su, Yang ; Schwartz, Martin ; Fayad, Ibrahim ; García, Mariano ; Zavala, Miguel A. ; Tijerín-Triviño, Julián ; Astigarraga, Julen LU
; Cruz-Alonso, Verónica
; Liu, Siyu
LU
and Zhang, Xianglin
, et al.
(2025)
In Scientific Data
12(1).
- Contribution to journal › Article
-
Mark
Predicting adverse cardiac events at the emergency department : A deep learning approach
(2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
-
Mark
Enhancing Pan evaporation predictions : Accuracy and uncertainty in hybrid machine learning models
- Contribution to journal › Article