UniPhyNet: A Unified Network For Multimodal Physiological Raw Signal Classification
IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2025
Publications
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Refereed Conference
The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
Aarhus 2025 Conference on Computing [X] Crisis, 2025
PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning for Medical Image Analysis
Northern Lights Deep Learning Conference (NLDL 2025), 2025
Is Adversarial Training with Compressed Datasets Effective?
Scandinavian Conference on Image Analysis (SCIA), 2025
How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It
Conference of Human-Computer Interaction (CHI), 2025
Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2024
BMRS: Bayesian Model Reduction for Structured Pruning
Neural Information Processing Systems (NeurIPS), 2024
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Operating critical machine learning models in resource constrained regimes
Resource Efficient Medical Image Analysis Workshop at MICCAI2023, 2023
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation
Northern Lights Deep Learning Conference, 2023
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Deep Generative Models Workshop, MICCAI, 2022
Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space
International Workshop on Biomedical Image Registration, 2022
Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation
5th International Conference on Medical Imaging with Deep Learning (MIDL), 2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
Segmenting two-dimensional structures with strided tensor networks
27th international conference on Information Processing in Medical Imaging (IPMI), 2021
Deep ensemble model for segmenting microscopy images in the presence of limited labeled data
4th Conference on Medical Imaging with Deep Learning (MIDL), 2021
Carbon footprint driven deep learning model selection for medical imaging
4th Conference on Medical Imaging with Deep Learning (MIDL), 2021
Multi-layered tensor networks for image classification
First Workshop on Quantum Tensor Networks in Machine Learning. In conjunction with 34th NeurIPS, 2020
Uncertainty quantification in medical image segmentation with Normalizing Flows
11th International Workshop on Machine Learning in Medical Imaging, 2020
Tensor Networks for Medical Image Classification
Proceedings of International Conference on Medical Imaging with Deep Learning (MIDL). Winner of Runner-up Best Paper Award, 2020
Lung Segmentation from Chest X-rays using Variational Data Imputation
ICML Workshop on The Art of Learning with Missing Values (Artemiss-2020), 2020
Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models
16th International Workshop on Mining and Learning with Graphs, 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems, 2020
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
the proceedings of International Workshop on Machine Learning in Medical Imaging, 2019
Mean field network based graph refinement with application to airway tree extraction
21st Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Grenada, Spain, 2018
Extraction of Airways using Graph Neural Networks
1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, 2018
Extraction of airways with probabilistic state-space models and Bayesian smoothing
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Extraction of airway trees using multiple hypothesis tracking and template matching
Sixth International Workshop on Pulmonary Image Analysis. MICCAI, 2016
Journal
Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
ACM Software Engineering Notes, 2025
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Communications of ACM, 2025
Comparing the carbon footprint of fMRI data processing and analysis approaches
Imaging Neuroscience, 2025
A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation
Journal of Open Source Software (JOSS), 2024
Stabilization of V1 interneuron-motor neuron connectivity ameliorates motor phenotype in a mouse model of ALS
Nature Communications, 2024
Spinal inhibitory neurons degenerate before motor neurons and excitatory neurons in a mouse model of ALS
Science Advances, 2024
Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrep
Journal of Human Brain Mapping, 2024
High-throughput classification of S. cerevisiae tetrads using deep learning
Yeast, 2024
Predicting lake bathymetry from the topography of the surrounding terrain using deep learning
Limnology and Oceanography: Methods, 2023
DeepStruc: Towards structure solution from pair distribution function data using deep generative models
Digital Discovery, 2023
Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging
Imaging Neuroscience, 2023
Pedunculopontine Chx10+ neurons control global motor arrest in mice
Nature Neuroscience, 2023
Machine Learning for Analysis of Experimental Scattering and Spectroscopy Data in Materials Chemistry
Chemical Science, 2023
Patch-based medical image segmentation using Matrix Product State Tensor Networks
The Journal of Machine Learning for Biomedical Imaging (MELBA), 2022
Extracting Structural Motifs from Pair Distribution Function Data of Nanostructures using Explainable Machine Learning
NPJ Computational Materials, 2022
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks
Scientific Reports, 2021
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Scientific Reports, 2021
Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons
Nature Communications, 2021
Locally orderless tensor networks for classifying two- and three-dimensional medical images
The Journal of Machine Learning for Biomedical Imaging (MELBA), 2021
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals
Journal of Ecological Informatics, 2021
Detection of foraging behavior from accelerometer data using U-Net type convolutional networks
Ecological Informatics, 2021
Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Medical Image Analysis, 2020
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies
IEEE transactions on medical imaging, 2019
Extracting tree-structures in CT data by tracking multiple statistically ranked hypotheses
International Journal of Medical Physics Research and Practice, 2019
Segmentation of roots in soil with U-Net
Journal of Plant Methods, 2019
A batch algorithm for estimating trajectories of point targets using expectation maximization
IEEE Transactions on Signal Processing, 2016
Preprint
deCIFer: Crystal Structure Prediction from Powder Diffraction Data using Autoregressive Language Models
Arxiv, 2025
Oscillations Make Neural Networks Robust to Quantization
Arxiv, 2025
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race)
Arxiv, 2025
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency
Arxiv, 2024
When Can Memorization Improve Fairness?
Arxiv, 2024
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
Arxiv, 2023
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
Arxiv, 2022
Monograph
Sustainable AI: Tools for Moving Towards Green AI
Upcoming Book (Early Release online), 2025
Extraction of Airways from Volumetric Data
University of Copenhagen (PhD Thesis), 2018
Bayesian tracking of multiple point targets using expectation maximization
Chalmers University (MSc Thesis), 2015