Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation. - Andrzej Bielecki; Mariusz Korkosz; Bartosz Zielinski 001 (Pattern Recognit., 2008)

A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs. - Marzena Bielecka; Marek Skomorowski; Bartosz Zielinski 001 (ICANNGA, 2009)

Hand Radiograph Analysis and Joint Space Location Improvement for Image Interpretation. - Bartosz Zielinski 001 (Schedae Informaticae, 2009)

Identifying the Borders of the Upper and Lower Metacarpophalangeal Joint Surfaces on Hand Radiographs. - Andrzej Bielecki; Mariusz Korkosz; Wadim Wojciechowski; Bartosz Zielinski 001 (ICAISC (1), 2010)

Application of Shape Description Methodology to Hand Radiographs Interpretation. - Marzena Bielecka; Andrzej Bielecki; Mariusz Korkosz; Marek Skomorowski; Wadim Wojciechowski; Bartosz Zielinski 001 (ICCVG (1), 2010)

Global extremes analysis in applications of discrete tomography. - Leszek Nowak; Bartosz Zielinski 001 (Bio Algorithms Med Syst., 2010)

Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints. - Marzena Bielecka; Andrzej Bielecki; Mariusz Korkosz; Marek Skomorowski; Wadim Wojciechowski; Bartosz Zielinski 001 (ICANNGA (2), 2011)

A Shape Description Language for Osteophytes Detection in Upper Surfaces of the Metacarpophalangeal Joints. - Marzena Bielecka; Andrzej Bielecki; Mariusz Korkosz; Marek Skomorowski; Kamila Sprezak; Wadim Wojciechowski; Bartosz Zielinski 001 (Computer Recognition Systems 4, 2011)

A new approach to automatic continuous artery diameter measurement. - Bartosz Zielinski 001; Adam Roman; Agata Drózdz; Agata Kowalewska; Marzena Frolow (FedCSIS, 2014)

Schmid Filter and Inpainting in Computer-Aided Erosions and Osteophytes Detection Based on Hand Radiographs. - Bartosz Zielinski 001; Marek Skomorowski (CORES, 2015)

Computer aided erosions and osteophytes detection based on hand radiographs. - Bartosz Zielinski 001; Marek Skomorowski; Wadim Wojciechowski; Mariusz Korkosz; Kamila Sprezak (Pattern Recognit., 2015)

Topological Descriptors for 3D Surface Analysis. - Matthias Zeppelzauer; Bartosz Zielinski 001; Mateusz Juda; Markus Seidl (CTIC, 2016)

RoughCut-New Approach to Segment High-Resolution Images. - Mateusz Babiuch; Bartosz Zielinski 001; Marek Skomorowski (ICAISC (2), 2016)

Fully-Automatic Method for Assessment of Flow-Mediated Dilation. - Bartosz Zielinski 001; Agata Drózdz; Marzena Frolow (ICCVG, 2016)

Processing of missing data by neural networks. - Marek Smieja; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001; Przemyslaw Spurek (NeurIPS, 2018)

Persistence Codebooks for Topological Data Analysis. - Bartosz Zielinski 001; Mateusz Juda; Matthias Zeppelzauer (CoRR, 2018)

Cascade context encoder for improved inpainting. - Bartosz Zielinski 001; Lukasz Struski; Marek Smieja; Jacek Tabor (CoRR, 2018)

A study on topological descriptors for the analysis of 3D surface texture. - Matthias Zeppelzauer; Bartosz Zielinski 001; Mateusz Juda; Markus Seidl (Comput. Vis. Image Underst., 2018)

A machine learning approach to synchronization of automata. - Igor T. Podolak; Adam Roman; Marek Szykula; Bartosz Zielinski 001 (Expert Syst. Appl., 2018)

Persistence Bag-of-Words for Topological Data Analysis. - Bartosz Zielinski 001; Michal Lipinski; Mateusz Juda; Matthias Zeppelzauer; Pawel Dlotko (IJCAI, 2019)

Variational auto-encoders for generating feature-preserving automata. - Igor T. Podolak; Adam Roman; Arkadiusz Czekajski; Damian Lesniak; Bartosz Zielinski 001 (NCMA, 2019)

Deep learning approach to description and classification of fungi microscopic images. - Bartosz Zielinski 001; Agnieszka Sroka-Oleksiak; Dawid Rymarczyk; Adam Piekarczyk; Monika Brzychczy-Wloch (CoRR, 2019)

Deep learning approach to describe and classify fungi microscopic images. - Bartosz Zielinski 001; Agnieszka Sroka-Oleksiak; Dawid Rymarczyk; Adam Piekarczyk; Monika Brzychczy-Wloch (CoRR, 2020)

Kernel Self-Attention in Deep Multiple Instance Learning. - Dawid Rymarczyk; Jacek Tabor; Bartosz Zielinski 001 (CoRR, 2020)

ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. - Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (CoRR, 2020)

Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. - Adriana Borowa; Dawid Rymarczyk; Dorota Ochonska; Monika Brzychczy-Wloch; Bartosz Zielinski 001 (CoRR, 2020)

What Pushes Self-supervised Image Representations Away? - Bartosz Zielinski 001; Michal Górszczak (ICONIP (5), 2021)

Explaining Self-Supervised Image Representations with Visual Probing. - Dominika Basaj; Witold Oleszkiewicz; Igor Sieradzki; Michal Górszczak; Barbara Rychalska; Tomasz Trzcinski; Bartosz Zielinski 001 (IJCAI, 2021)

Deep learning classification of bacteria clones explained by persistence homology. - Adriana Borowa; Dawid Rymarczyk; Dorota Ochonska; Monika Brzychczy-Wloch; Bartosz Zielinski 001 (IJCNN, 2021)

ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. - Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (KDD, 2021)

Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images. - Dawid Rymarczyk; Adriana Borowa; Anna Bracha; Maurycy Chronowski; Wojciech Ozimek; Bartosz Zielinski 001 (MedInfo, 2021)

Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. - Dawid Rymarczyk; Adriana Borowa; Jacek Tabor; Bartosz Zielinski 001 (WACV, 2021)

Persistence codebooks for topological data analysis. - Bartosz Zielinski 001; Michal Lipinski; Mateusz Juda; Matthias Zeppelzauer; Pawel Dlotko (Artif. Intell. Rev., 2021)

SONG: Self-Organizing Neural Graphs. - Lukasz Struski; Tomasz Danel; Marek Smieja; Jacek Tabor; Bartosz Zielinski 001 (CoRR, 2021)

ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. - Dawid Rymarczyk; Aneta Kaczynska; Jaroslaw Kraus; Adam Pardyl; Bartosz Zielinski 001 (CoRR, 2021)

Interpretable Image Classification with Differentiable Prototypes Assignment. - Dawid Rymarczyk; Lukasz Struski; Michal Górszczak; Koryna Lewandowska; Jacek Tabor; Bartosz Zielinski 001 (ECCV (12), 2022)

Weakly-Supervised Cell Classification for Effective High Content Screening. - Adriana Borowa; Szczepan Kruczek; Jacek Tabor; Bartosz Zielinski 001 (ICCS (1), 2022)

Which Visual Features Impact the Performance of Target Task in Self-supervised Learning? - Witold Oleszkiewicz; Dominika Basaj; Tomasz Trzcinski; Bartosz Zielinski 001 (ICCS (1), 2022)

Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes. - Adam Pardyl; Dawid Rymarczyk; Zbislaw Tabor; Bartosz Zielinski 001 (ICONIP (7), 2022)

ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification. - Dawid Rymarczyk; Adam Pardyl; Jaroslaw Kraus; Aneta Kaczynska; Marek Skomorowski; Bartosz Zielinski 001 (ECML/PKDD (1), 2022)

ProPaLL: Probabilistic Partial Label Learning. - Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (CoRR, 2022)

ProPML: Probability Partial Multi-label Learning. - Lukasz Struski; Adam Pardyl; Jacek Tabor; Bartosz Zielinski 001 (DSAA, 2023)

CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. - Adam Pardyl; Dawid Rymarczyk; Joanna Jaworek-Korjakowska; Dariusz Kucharski; Andrzej Brodzicki; Julia Lasek; Zofia Schneider; Iwona Kucybala; Andrzej Urbanik; Rafal Obuchowicz; Zbislaw Tabor; Bartosz Zielinski 001 (ECAI, 2023)

ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. - Lukasz Struski; Dawid Rymarczyk; Arkadiusz Lewicki; Robert Sabiniewicz; Jacek Tabor; Bartosz Zielinski 001 (ECAI, 2023)

ICICLE: Interpretable Class Incremental Continual Learning. - Dawid Rymarczyk; Joost van de Weijer 001; Bartosz Zielinski 001; Bartlomiej Twardowski (ICCV, 2023)

Active Visual Exploration Based on Attention-Map Entropy. - Adam Pardyl; Grzegorz Rypesc; Grzegorz Kurzejamski; Bartosz Zielinski 001; Tomasz Trzcinski (IJCAI, 2023)

ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. - Mikolaj Sacha; Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (WACV, 2023)

SONGs: Self-Organizing Neural Graphs. - Lukasz Struski; Tomasz Danel; Marek Smieja; Jacek Tabor; Bartosz Zielinski 001 (WACV, 2023)

Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. - Witold Oleszkiewicz; Dominika Basaj; Igor Sieradzki; Michal Górszczak; Barbara Rychalska; Koryna Lewandowska; Tomasz Trzcinski; Bartosz Zielinski 001 (IEEE Access, 2023)

Augmentation-aware Self-supervised Learning with Guided Projector. - Marcin Przewiezlikowski; Mateusz Pyla; Bartosz Zielinski 001; Bartlomiej Twardowski; Jacek Tabor; Marek Smieja (CoRR, 2023)

Token Recycling for Efficient Sequential Inference with Vision Transformers. - Jan Olszewski; Dawid Rymarczyk; Piotr Wójcik; Mateusz Pach; Bartosz Zielinski 001 (CoRR, 2023)

Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. - Adriana Borowa; Dawid Rymarczyk; Dorota Ochonska; Agnieszka Sroka-Oleksiak; Monika Brzychczy-Wloch; Bartosz Zielinski 001 (IEEE J. Biomed. Health Informatics, 2023)

Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. - Mikolaj Sacha; Bartosz Jura; Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (AAAI, 2024)

Zero-Waste Machine Learning. - Tomasz Trzcinski; Bartlomiej Twardowski; Bartosz Zielinski 001; Kamil Adamczewski; Bartosz Wójcik (ECAI, 2024)

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. - Adam Pardyl; Michal Wronka; Maciej Wolczyk; Kamil Adamczewski; Tomasz Trzcinski; Bartosz Zielinski 001 (ECCV (21), 2024)

ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery. - Tomasz Michalski 002; Dawid Rymarczyk; Daniel Barczyk; Bartosz Zielinski 001 (ESANN, 2024)

Divide and not forget: Ensemble of selectively trained experts in Continual Learning. - Grzegorz Rypesc; Sebastian Cygert; Valeriya Khan; Tomasz Trzcinski; Bartosz Zielinski 001; Bartlomiej Twardowski (ICLR, 2024)

A Deep Cut Into Split Federated Self-Supervised Learning. - Marcin Przewiezlikowski; Marcin Osial; Bartosz Zielinski 001; Marek Smieja (ECML/PKDD (2), 2024)

Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks. - Szymon Oplatek; Dawid Rymarczyk; Bartosz Zielinski 001 (xAI (1), 2024)

OMENN: One Matrix to Explain Neural Networks. - Adam Wróbel; Mikolaj Janusz; Bartosz Zielinski 001; Dawid Rymarczyk (CoRR, 2024)

Beyond [cls]: Exploring the true potential of Masked Image Modeling representations. - Marcin Przewiezlikowski; Randall Balestriero; Wojciech Jasinski; Marek Smieja; Bartosz Zielinski 001 (CoRR, 2024)

Parameter-Efficient Interventions for Enhanced Model Merging. - Marcin Osial; Daniel Marczak; Bartosz Zielinski 001 (CoRR, 2024)

Augmentation-aware self-supervised learning with conditioned projector. - Marcin Przewiezlikowski; Mateusz Pyla; Bartosz Zielinski 001; Bartlomiej Twardowski; Jacek Tabor; Marek Smieja (Knowl. Based Syst., 2024)

HCS-DFC: A Diffusion Classifier for Mode of Action Prediction Using Morphological Profiles. - Jakub Kosciukiewicz; Dawid Rymarczyk; Bartosz Zielinski 001 (CVPR Workshops, 2025)

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. - Mateusz Pach; Koryna Lewandowska; Jacek Tabor; Bartosz Michal Zielinski; Dawid Damian Rymarczyk (ICLR, 2025)

TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration. - Jan Olszewski; Dawid Rymarczyk; Piotr Wójcik; Mateusz Pach; Bartosz Zielinski 001 (WACV, 2025)

Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. - Adam Pardyl; Grzegorz Kurzejamski; Jan Olszewski; Tomasz Trzcinski; Bartosz Zielinski 001 (WACV, 2025)

This looks like what? Challenges and Future Research Directions for Part-Prototype Models. - Khawla Elhadri; Tomasz Michalski 002; Adam Wróbel; Jörg Schlötterer; Bartosz Zielinski 001; Christin Seifert (CoRR, 2025)

AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients. - Agnieszka Sroka-Oleksiak; Adam Pardyl; Dawid Rymarczyk; Aldona Olechowska-Jarzab; Katarzyna Biegun-Drozdz; Dorota Ochonska; Michal Wronka; Adriana Borowa; Tomasz Gosiewski; Milosz Adamczyk; Henryk Telega; Bartosz Zielinski 001; et al. (CoRR, 2025)

FlySearch: Exploring how vision-language models explore. - Adam Pardyl; Dominik Matuszek; Mateusz Przebieracz; Marek Cygan; Bartosz Zielinski 001; Maciej Wolczyk (CoRR, 2025)

Personalized Interpretability - Interactive Alignment of Prototypical Parts Networks. - Tomasz Michalski 002; Adam Wróbel; Andrea Bontempelli; Jakub Lustyk; Mikolaj Kniejski; Stefano Teso; Andrea Passerini; Bartosz Zielinski 001; Dawid Rymarczyk (CoRR, 2025)