Jana Lipková

Orcid: 0000-0001-8101-4794

According to our database1, Jana Lipková authored at least 22 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Learnable Prior Improves Inverse Tumor Growth Modeling.
CoRR, 2024

2023
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Medical Image Anal., 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

2022
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models.
IEEE Trans. Medical Imaging, 2022

Federated learning for computational pathology on gigapixel whole slide images.
Medical Image Anal., 2022

2021
AI-based pathology predicts origins for cancers of unknown primary.
Nat., 2021

Algorithm Fairness in AI for Medicine and Healthcare.
CoRR, 2021

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations.
CoRR, 2021

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning.
CoRR, 2021

2020
Real-time Bayesian personalization via a learnable brain tumor growth model.
CoRR, 2020

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary.
CoRR, 2020

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.
IEEE Trans. Medical Imaging, 2019

Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee.
CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

Neural Parameters Estimation for Brain Tumor Growth Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.
CoRR, 2018

2017
Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation.
CoRR, 2017

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks.
CoRR, 2017

W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

2011
Analysis of Brownian Dynamics Simulations of Reversible Bimolecular Reactions.
SIAM J. Appl. Math., 2011


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