A versatile material reflectance measurement system for use in production. - Gabriel Eilertsen; Per Larsson; Jonas Unger (SIGRAD, 2011)

Survey and evaluation of tone mapping operators for HDR video. - Gabriel Eilertsen; Jonas Unger; Robert Wanat; Rafal Mantiuk (SIGGRAPH Talks, 2013)

Evaluation of Tone Mapping Operators for HDR-Video. - Gabriel Eilertsen; Robert Wanat; Rafal K. Mantiuk; Jonas Unger (Comput. Graph. Forum, 2013)

Perceptually based parameter adjustments for video processing operations. - Gabriel Eilertsen; Jonas Unger; Robert Wanat; Rafal Mantiuk (SIGGRAPH Talks, 2014)

Real-time noise-aware tone mapping. - Gabriel Eilertsen; Rafal K. Mantiuk; Jonas Unger (ACM Trans. Graph., 2015)

The HDR-video Pipeline. - Jonas Unger; Francesco Banterle; Gabriel Eilertsen; Rafal K. Mantiuk (Eurographics (Tutorials), 2016)

Real-time noise-aware tone-mapping and its use in luminance retargeting. - Gabriel Eilertsen; Rafal K. Mantiuk; Jonas Unger (ICIP, 2016)

A high dynamic range video codec optimized by large-scale testing. - Gabriel Eilertsen; Rafal K. Mantiuk; Jonas Unger (ICIP, 2016)

Luma HDRv: an open source high dynamic range video codec optimized by large-scale testing. - Gabriel Eilertsen; Rafal K. Mantiuk; Jonas Unger (SIGGRAPH Talks, 2016)

BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation. - Gabriel Eilertsen; Per-Erik Forssén; Jonas Unger (SCIA (1), 2017)

A comparative review of tone-mapping algorithms for high dynamic range video. - Gabriel Eilertsen; Rafal Mantiuk; Jonas Unger (Comput. Graph. Forum, 2017)

HDR image reconstruction from a single exposure using deep CNNs. - Gabriel Eilertsen; Joel Kronander; Gyorgy Denes; Rafal K. Mantiuk; Jonas Unger (ACM Trans. Graph., 2017)

The high dynamic range imaging pipeline: Tone-mapping, distribution, and single-exposure reconstruction. - Gabriel Eilertsen (2018)

Single-Frame Regularization for Temporally Stable CNNs. - Gabriel Eilertsen; Rafal K. Mantiuk; Jonas Unger (CVPR, 2019)

A Closer Look at Domain Shift for Deep Learning in Histopathology. - Karin Stacke; Gabriel Eilertsen; Jonas Unger; Claes Lundström (CoRR, 2019)

An Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone Mapping. - Michael Teutsch; Simone Sedelmaier; Sebastian Moosbauer; Gabriel Eilertsen; Thomas Walter (CVPR Workshops, 2020)

Classifying the Classifier: Dissecting the Weight Space of Neural Networks. - Gabriel Eilertsen; Daniel Jönsson; Timo Ropinski; Jonas Unger; Anders Ynnerman (ECAI, 2020)

Visual Analysis of the Impact of Neural Network Hyper-Parameters. - Daniel Jönsson; Gabriel Eilertsen; Hezi Shi; Jianmin Zheng; Anders Ynnerman; Jonas Unger (MLVis@Eurographics/EuroVis, 2020)

Evaluation of Contrastive Predictive Coding for Histopathology Applications. - Karin Stacke; Claes Lundström; Gabriel Eilertsen (ML4H@NeurIPS, 2020)

A Survey of Image Synthesis Methods for Visual Machine Learning. - Apostolia Tsirikoglou; Gabriel Eilertsen; Jonas Unger (Comput. Graph. Forum, 2020)

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios. - Apostolia Tsirikoglou; Karin Stacke; Gabriel Eilertsen; Martin Lindvall; Jonas Unger (CoRR, 2020)

Survey of XAI in digital pathology. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (CoRR, 2020)

Survey of XAI in Digital Pathology. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (AI and ML for Digital Pathology, 2020)

How to cheat with metrics in single-image HDR reconstruction. - Gabriel Eilertsen; Saghi Hajisharif; Param Hanji; Apostolia Tsirikoglou; Rafal K. Mantiuk; Jonas Unger (ICCVW, 2021)

Unsupervised Anomaly Detection In Digital Pathology Using GANs. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (ISBI, 2021)

Generative inter-class transformations for imbalanced data weather classification. - Apostolia Tsirikoglou; Marcus Gladh; Daniel Sahlin; Gabriel Eilertsen; Jonas Unger (LIM, 2021)

Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection. - Apostolia Tsirikoglou; Karin Stacke; Gabriel Eilertsen; Jonas Unger (MICCAI (5), 2021)

Ensembles of GANs for synthetic training data generation. - Gabriel Eilertsen; Apostolia Tsirikoglou; Claes Lundström; Jonas Unger (CoRR, 2021)

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. - Karin Stacke; Jonas Unger; Claes Lundström; Gabriel Eilertsen (CoRR, 2021)

Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? - Milda Poceviciute; Gabriel Eilertsen; Sofia Jarkman; Claes Lundström (CoRR, 2021)

Measuring Domain Shift for Deep Learning in Histopathology. - Karin Stacke; Gabriel Eilertsen; Jonas Unger; Claes Lundström (IEEE J. Biomed. Health Informatics, 2021)

Comparison of single image HDR reconstruction methods - the caveats of quality assessment. - Param Hanji; Rafal Mantiuk; Gabriel Eilertsen; Saghi Hajisharif; Jonas Unger (SIGGRAPH (Conference Paper Track), 2022)

Learning via nonlinear conjugate gradients and depth-varying neural ODEs. - George Baravdish; Gabriel Eilertsen; Rym Jaroudi; B. Tomas Johansson; Lukás Malý; Jonas Unger (CoRR, 2022)

Standalone Neural ODEs with Sensitivity Analysis. - Rym Jaroudi; Lukás Malý; Gabriel Eilertsen; B. Tomas Johansson; Jonas Unger; George Baravdish (CoRR, 2022)

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. - Milda Poceviciute; Gabriel Eilertsen; Stina Garvin; Claes Lundström (MICCAI (5), 2023)

Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (Digital and Computational Pathology, 2023)

CDF-Based Importance Sampling and Visualization for Neural Network Training. - Alex Knutsson; Jakob Unnebäck; Daniel Jönsson; Gabriel Eilertsen (VCBM, 2023)

Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning. - Axel Gödrich; Daniel König; Gabriel Eilertsen; Michael Teutsch (CoRR, 2023)

Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio. - Amirhossein Ahmadian; Yifan Ding; Gabriel Eilertsen; Fredrik Lindsten (AISTATS, 2024)

Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection. - Tahereh Dehdarirad; Ericka Johnson; Gabriel Eilertsen; Saghi Hajisharif (ICMLA, 2024)

Model-invariant Weight Distribution Descriptors for Visual Exploration of Neural Networks en Masse. - Gabriel Eilertsen; Daniel Jönsson; Jonas Unger; Anders Ynnerman (EuroVis (Short Papers), 2024)

A Hybrid Sobolev Gradient Method for Learning NODEs. - George Baravdish; Gabriel Eilertsen; Rym Jaroudi; B. Tomas Johansson; Lukás Malý; Jonas Unger (Oper. Res. Forum, 2024)

Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations. - Yifan Ding; Arturas Aleksandrauskas; Amirhossein Ahmadian; Jonas Unger; Fredrik Lindsten; Gabriel Eilertsen (SCIA (2), 2025)

Out-of-distribution detection in digital pathology: Do foundation models bring the end to reconstruction-based approaches? - Milda Poceviciute; Yifan Ding; Ruben Bromée; Gabriel Eilertsen (Comput. Biol. Medicine, 2025)

Enhancing Out-of-Distribution Detection with Extended Logit Normalization. - Yifan Ding; Xixi Liu 001; Jonas Unger; Gabriel Eilertsen (CoRR, 2025)