Vincent Andrearczyk

5.7k citations

34 papers · 605 indexed · h-index 13

Impact in

Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Radiology, Nuclear Medicine and Imaging top 5%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 20
- Radiomics and Machine Learning in Medical Imaging 19
- Medical Imaging Techniques and Applications 6
Artificial Intelligence 19
- AI in cancer detection 14
- Explainable Artificial Intelligence (XAI) 5

Co-authors: Henning Müller (17 shared papers)Paul F. Whelan (2 shared papers)Adrien Depeursinge (16 shared papers)Manfredo Atzori (4 shared papers)Amjad Khan (3 shared papers)Sebastian Otálora (3 shared papers)Stéphane Marchand‐Maillet (2 shared papers)Mara Graziani (9 shared papers)
Journals: Journal of Personalized Medicine (1 paper)Scientific Reports (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)International Journal of Legal Medicine (1 paper)Artificial Intelligence Review (1 paper)
Partner nations: Switzerland France United States

In The Last Decade

Vincent Andrearczyk

31 papers receiving 593 citations

Peers

Countries citing papers authored by Vincent Andrearczyk

Since Specialization

Citations

This map shows the geographic impact of Vincent Andrearczyk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vincent Andrearczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Andrearczyk more than expected).

Fields of papers citing papers by Vincent Andrearczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent Andrearczyk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vincent Andrearczyk. The network helps show where Vincent Andrearczyk may publish in the future.

Co-authors

The 25 scholars most cited alongside Vincent Andrearczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vincent Andrearczyk Line = papers co-authored together Vincent Andrearczyk links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods Journal of Personalized Medicine ·Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee, Philippe Lambin	2021	116
2	A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences Artificial Intelligence Review ·Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller	2022	65
3	Convolutional neural network on three orthogonal planes for dynamic texture classification Pattern Recognition ·Vincent Andrearczyk, Paul F. Whelan	2017	56
4	Concept attribution: Explaining CNN decisions to physicians Computers in Biology and Medicine ·Maria Stella Graziani, Vincent Andrearczyk, Stéphane Marchand‐Maillet, Henning Müller	2020	55
5	Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology Frontiers in Bioengineering and Biotechnology ·Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan, Henning Müller	2019	54
6	Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans ArODES (HES-SO (https://www.hes-so.ch/)) ·Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, J. Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge	2020	24
7	Automated Tumor Segmentation in Radiotherapy Seminars in Radiation Oncology ·Ricky R. Savjani, Michael Lauria, Supratik Bose, Jie Deng, Ye Yuan, Vincent Andrearczyk	2022	22
8	Neural network training for cross-protocol radiomic feature standardization in computed tomography Journal of Medical Imaging ·Vincent Andrearczyk, Adrien Depeursinge, Henning Müller	2019	21
9	An exploration of uncertainty information for segmentation quality assessment ArODES (HES-SO (https://www.hes-so.ch/)) ·Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay Patel, Ken Chang, Adrien Depeursinge, Henning Müeller, Jayashree Kalpathy–Cramer	2020	20
10	Overview of the imageCLEF 2018 caption prediction tasks Alba García Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller	2018	16
11	Head and Neck Tumor Segmentation and Outcome Prediction Lecture notes in computer science ·Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge	2023	15
12	On the Scale Invariance in State of the Art CNNs Trained on ImageNet SHILAP Revista de lepidopterología ·Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk	2021	13
13	A systematic comparison of deep learning strategies for weakly supervised Gleason grading ArODES (HES-SO (https://www.hes-so.ch/)) ·Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Jiménez–del–Toro, Vincent Andrearczyk, Henning Müller	2020	13
14	Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge Medical Image Analysis ·Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge	2023	12
15	Head and Neck Tumor Segmentation and Outcome Prediction Lecture notes in computer science ·(unknown), Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge, (unknown)	2022	11
16	Improved interpretability for computer-aided severity assessment of retinopathy of prematurity ArODES (HES-SO (https://www.hes-so.ch/)) ·James M. Brown, Vincent Andrearczyk, Veysi Yıldız, Deniz Erdoğmuş, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy–Cramer, Henning Müller, J. Peter Campbell, Mara Graziani	2019	11
17	Deep learning for biomedical texture image analysis Arrow@dit (Dublin Institute of Technology) ·Vincent Andrearczyk, Paul F. Whelan	2017	10
18	Visualizing and Interpreting Feature Reuse of Pretrained CNNs for Histopathology Arrow - TU Dublin (Technological University Dublin) ·Mara Graziani, Vincent Andrearczyk, Henning Müller	2019	9
19	Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ·Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, J. Castelli, John O. Prior, Adrien Depeursinge	2022	9
20	Generalizing convolution neural networks on stain color heterogeneous data for computational pathology ArODES (HES-SO (https://www.hes-so.ch/)) ·Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller	2020	9

About Vincent Andrearczyk

Vincent Andrearczyk is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Otorhinolaryngology, having authored 34 papers that have together received 605 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), AI in cancer detection (14 papers), Medical Imaging Techniques and Applications (6 papers), Explainable Artificial Intelligence (XAI) (5 papers), Cell Image Analysis Techniques (4 papers), Head and Neck Cancer Studies (4 papers), Digital Imaging for Blood Diseases (4 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Health Informatics (67 citations), Radiology, Nuclear Medicine and Imaging (338 citations), Artificial Intelligence (276 citations), Computer Vision and Pattern Recognition (147 citations) and Otorhinolaryngology (31 citations). Vincent Andrearczyk has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Henning Müller, Paul F. Whelan, Adrien Depeursinge, Manfredo Atzori, Amjad Khan, Sebastian Otálora, Stéphane Marchand‐Maillet, Mara Graziani, Maria Stella Graziani and Zohaib Salahuddin. Their work appears in journals such as Journal of Personalized Medicine, Scientific Reports, Frontiers in Bioengineering and Biotechnology, International Journal of Legal Medicine and Artificial Intelligence Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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