Jakub Nalepa

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 159

Top Venues

Publications

Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa
Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. GECCO Companion (2024)
Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa
Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. GECCO Companion (2024)
Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
Ensembles of evolutionarily-constructed support vector machine cascades. Knowl. Based Syst. 288 (2024)
Martyna Kurbiel, Agata M. Wijata, Jakub Nalepa
Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning. ICPRAM (2024)
Bogdan Ruszczak, Krzysztof Kotowski, David Evans, Jakub Nalepa
The OPS-SAT benchmark for detecting anomalies in satellite telemetry. CoRR (2024)
Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniewska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa
Quantifying inconsistencies in the Hamburg Sign Language Notation System. Expert Syst. Appl. 256 (2024)
Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa
CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. GECCO (2024)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa
Standardized validation of vehicle routing algorithms. Appl. Intell. 54 (2) (2024)
Daniel Marek, Jakub Nalepa
End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation. Eng. Appl. Artif. Intell. 127 (Part B) (2024)
Ramez Shendy, Jakub Nalepa
Few-shot satellite image classification for bringing deep learning on board OPS-SAT. Expert Syst. Appl. 251 (2024)
Krzysztof Kotowski, Christoph Haskamp, Jacek Andrzejewski, Bogdan Ruszczak, Jakub Nalepa, Daniel Lakey, Peter Collins, Aybike Kolmas, Mauro Bartesaghi, Jose Martinez-Heras, Gabriele De Canio
European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry. CoRR (2024)
Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Zak, Sabina Wolny, Marcin Kostur
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. CoRR (2024)
Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek, Bertrand Le Saux, Jakub Nalepa
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods. CoRR (2024)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. 132 (2024)
Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. CoRR (2024)
Bartosz Machura, Damian Kucharski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. Comput. Medical Imaging Graph. 116 (2024)
Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images. CoRR (2023)
Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features. ICCS (2) (2023)
Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Christoph Haskamp, Jakub Nalepa
OXI: An online tool for visualization and annotation of satellite time series data. SoftwareX 23 (2023)
Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok
Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniwska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study. CoRR (2023)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. CoRR (2023)
Agata M. Wijata, Jakub Nalepa
Machine Learning Detects a Biopsy Needle in Ultrasound Images. ICIP (2023)
Jaroslaw Goslinski, Filip Malawski, Mariusz Bujny, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa
Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography. ICIP (2023)
Jakub Nalepa, Krzysztof Kotowski, Bartosz Machura, Szymon Adamski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Agata Krason, Filippo Arcadu, Jean Tessier
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. Comput. Biol. Medicine 154 (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. IGARSS (2023)
Rafal Dubel, Agata M. Wijata, Jakub Nalepa
On the Impact of Noisy Labels on Supervised Classification Models. ICCS (2) (2023)
Maciej Ziaja, Pawel Kowaleczko, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Fabio Del Frate, Michal Kawulok
Hyperspectral Image Pansharpening: The Prisma Case Study. IGARSS (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels. CoRR (2023)
Krzysztof Kotowski, Damian Kucharski, Bartosz Machura, Szymon Adamski, Benjamín Gutiérrez-Becker, Agata Krason, Lukasz Zarudzki, Jean Tessier, Jakub Nalepa
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features. Comput. Biol. Medicine 152 (2023)
Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. IGARSS (2023)
Michal Kawulok, Pawel Kowaleczko, Maciej Ziaja, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Zoltan Bartalis, Fabio Del Frate
Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. IGARSS (2023)
Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux, Jakub Mielczarek
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. CoRR (2023)
Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Alicja Musial, David Evans, Vladimir Zelenevskiy, Sam Bammens, Rodrigo Laurinovics, Jakub Nalepa
Machine Learning Detects Anomalies in OPS-SAT Telemetry. ICCS (1) (2023)
Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa
Parallel Cooperative Memetic Co-evolution for VRPTW. GECCO Companion (2023)
Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. CoRR (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images. CoRR (2023)
Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa
Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. GECCO Companion (2023)
Agata M. Wijata, Michel-François Foulon, Yves Bobichon, Nicolas Longépé, Roberto Camarero, Raffaele Vitulli, Marco Celesti, Gianluigi Di Cosimo, Ferran Gascon, Jens Nieke, Jakub Nalepa
Toward On-Board Methane Detection in Hyperspectral Images. IGARSS (2023)
Michal Gumiela, Alicja Musial, Agata M. Wijata, Dawid Lazaj, Jonas Weiss, Patricia Sagmeister, Thomas Morf, Martin L. Schmatz, Jakub Nalepa
Benchmarking Space-Based Data Center Architectures. IGARSS (2023)
Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. IGARSS (2023)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS (2023)
Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa
Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. BrainLes@MICCAI (2022)
Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa
Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows. GECCO Companion (2022)
Tomasz Gandor, Jakub Nalepa
First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning. Sensors 22 (3) (2022)
Jakub Nalepa, Piotr Bosowski, Wojciech Dudzik, Michal Kawulok
Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. ACIIDS (Companion) (2022)
Jakub Nalepa, Szymon Adamski, Krzysztof Kotowski, Sylwia Chelstowska, Magdalena Machnikowska-Sokolowska, Oskar Bozek, Agata Wisz, Elzbieta Jurkiewicz
Segmenting pediatric optic pathway gliomas from MRI using deep learning. Comput. Biol. Medicine 142 (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR (2022)
Krzysztof Kotowski, Bartosz Machura, Jakub Nalepa
Robustifying Automatic Assessment of Brain Tumor Progression from MRI. BrainLes@MICCAI (2022)
Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
Semi-Simulated Training Data for Multi-Image Super-Resolution. IGARSS (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR (2022)
Agata M. Wijata, Jakub Nalepa
Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies. ICIP (2022)
Wojciech Ponikiewski, Jakub Nalepa
Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis. ICIP (2022)
Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa
Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS (2022)
Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja, Daniel Kostrzewa, Jakub Nalepa, Przemyslaw Rokita, Michal Kawulok
MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. CoRR (2022)
Jakub Nalepa, Krzysztof Kotowski, Bartosz Machura, Szymon Adamski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Agata Krason, Filippo Arcadu, Jean Tessier
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. CoRR (2022)
Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results. Remote. Sens. 14 (21) (2022)
Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
Cascades of evolutionary support vector machines. GECCO Companion (2022)
Filip Malawski, Jaroslaw Goslinski, Mikolaj Stryja, Katarzyna Jesionek, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa
Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA. AMAI@MICCAI (2022)
Maciej Ziaja, Jakub Nalepa, Michal Kawulok
Data Augmentation for Multi-Image Super-Resolution. IGARSS (2022)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa
Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) (2022)
Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Wojciech Malara, Lukasz Zarudzki, Jakub Nalepa
Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2022)
Jakub Nalepa, Stanislaw Czembor, Wojciech Dudzik, Michal Kawulok
Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. GECCO Companion (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Marcin Cwiek, Tomasz Lakota, Nicolas Longépé, Jakub Nalepa
Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? IGARSS (2022)
Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa
Towards Robust Cloud Detection in Satellite Images Using U-Nets. IGARSS (2021)
Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
Evolving data-adaptive support vector machines for binary classification. Knowl. Based Syst. 227 (2021)
Lukasz Tulczyjew, Michal Kawulok, Jakub Nalepa
Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 18 (12) (2021)
Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. GECCO Companion (2021)
Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa
Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI. BrainLes@MICCAI (2) (2021)
Jakub Nalepa
Recent Advances in Multi- and Hyperspectral Image Analysis. Sensors 21 (18) (2021)
Piotr Bosowski, Joanna Bosowska, Jakub Nalepa
Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays. ICIP (2021)
Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
A Graph Neural Network For Multiple-Image Super-Resolution. ICIP (2021)
Lukasz Tulczyjew, Jakub Nalepa
Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing. IGARSS (2021)
Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa
Benchmarking Deep Learning for On-Board Space Applications. Remote. Sens. 13 (19) (2021)
Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. 13 (8) (2021)
Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. IGARSS (2021)
Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok
Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. 13 (20) (2021)
Jakub Nalepa, Michal Myller, Michal Kawulok
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 17 (2) (2020)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS (2020)
Tomasz Tarasiewicz, Michal Kawulok, Jakub Nalepa
Lightweight U-Nets for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2020)
Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocess. Microsystems 73 (2020)
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access 8 (2020)
Michal Myller, Michal Kawulok, Jakub Nalepa
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. S+SSPR (2020)
Jakub Nalepa, Wojciech Dudzik, Michal Kawulok
Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. ICPR (2020)
Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak
Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
Deep Learning for Multiple-Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 17 (6) (2020)
Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Krzysztof Kotowski, Izabela Burda, Bartosz Machura, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 102 (2020)
Jakub Nalepa, Marek Stanek
Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise. IGARSS (2020)
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS (2020)
Jakub Nalepa, Michal Myller, Michal Kawulok
Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17 (7) (2020)
Jakub Nalepa, Krzysztof Hrynczenko, Michal Kawulok
Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. S+SSPR (2020)
Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
Skinny: A Lightweight U-Net For Skin Detection And Segmentation. ICIP (2020)
Krzysztof Kotowski, Szymon Adamski, Wojciech Malara, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa
Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets. BrainLes@MICCAI (2) (2020)
Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa
Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. IGARSS (2019)
Jakub Nalepa, Michal Myller, Michal Kawulok
Validating Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 16 (8) (2019)

Jakub Nalepa.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jakub Nalepa