Jan Cychnerski

11 papers C 2Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Adaptive Hounsfield Scale Windowing in Computed Tomography Liver Segmentation.
ISD
Maciej Zakrzewski, Dominik Kwiatkowski, Jan Cychnerski
2024 — conf
Assessment Of the Relevance of Best Practices in The Development of Medical R&D Projects Based on Machine Learning.
ISD
Jan Cychnerski, Tomasz Dziubich
2023 J jnl
Architecture Design of a Networked Music Performance Platform for a Chamber Choir.
CoRR
Jan Cychnerski, Bartlomiej Mróz
2022 — conf
Architecture Design of a Networked Music Performance Platform for a Chamber Choir.
ADBIS (Short Papers)
Jan Cychnerski, Bartlomiej Mróz
2022 C conf
Comparison of image pre-processing methods in liver segmentation task.
HSI
Kamil Kaczor, Pawel Nadachowski, Maksymilian Operlejn, Artur Piastowski, Marta Zielonka, Jan Cychnerski, Alicja Kwasniewska
2022 J jnl
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification.
CoRR
Jan Cychnerski, Tomasz Dziubich, Adam Brzeski
2021 — conf
Process of Medical Dataset Construction for Machine Learning - Multifield Study and Guidelines.
ADBIS (Short Papers)
Jan Cychnerski, Tomasz Dziubich
2021 — conf
Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations.
ADBIS (Short Papers)
Jan Cychnerski, Tomasz Dziubich
2020 — conf
Automated Classifier Development Process for Recognizing Book Pages from Video Frames.
ADBIS/TPDL/EDA Workshops
Adam Brzeski, Jan Cychnerski, Karol Draszawka, Krystyna Dziubich, Tomasz Dziubich, Waldemar Korlub, Pawel Rosciszewski
2017 C conf
Clothes detection and classification using convolutional neural networks.
ETFA
Jan Cychnerski, Adam Brzeski, Adrian Boguszewski, Mateusz Marmolowski, Marek Trojanowicz
2015 — conf
Towards Healthcare Cloud Computing.
ISAT (3)
Piotr Dorozynski, Adam Brzeski, Jan Cychnerski, Tomasz Dziubich
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski