Maximilian Ilse

1.3k total citations
7 papers, 166 citations indexed

About

Maximilian Ilse is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maximilian Ilse has authored 7 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maximilian Ilse's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer-related molecular mechanisms research (2 papers). Maximilian Ilse is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer-related molecular mechanisms research (2 papers). Maximilian Ilse collaborates with scholars based in Netherlands, Canada and United Kingdom. Maximilian Ilse's co-authors include Jakub M. Tomczak, Max Welling, Shruthi Bannur, Daniel C. Castro, Ozan Oktay, Maria Teodora Wetscherek, Fernando Pérez‐García, Matthew P. Lungren, Anton Schwaighofer and Javier Alvarez-Valle and has published in prestigious journals such as Nature Machine Intelligence, Data Archiving and Networked Services (DANS) and UvA-DARE (University of Amsterdam).

In The Last Decade

Maximilian Ilse

7 papers receiving 160 citations

Peers

Maximilian Ilse

AI

CVPR

RNMI

HI

MT

Alina Jade Barnett United States

Ankit Rajpal India

T. Kar India

Aoxiao Zhong United States

Chaofan Tao Hong Kong

Sonit Singh Australia

Mohammed Marey Egypt

Ghada Hamed Egypt

Junlin Yang United States

Weidi Xie China

Alina Jade Barnett United States

Maximilian Ilse

188 ×2.0

AI

55 ×0.7

CVPR

54 ×0.9

RNMI

38 ×1.9

HI

5 ×0.4

MT

Citations per year, relative to Maximilian Ilse Maximilian Ilse (= 1×) peers Alina Jade Barnett

Countries citing papers authored by Maximilian Ilse

Since Specialization

Citations

This map shows the geographic impact of Maximilian Ilse'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 Maximilian Ilse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Ilse more than expected).

Fields of papers citing papers by Maximilian Ilse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maximilian Ilse. 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 Maximilian Ilse. The network helps show where Maximilian Ilse may publish in the future.

Co-authorship network of co-authors of Maximilian Ilse

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Ilse. A scholar is included among the top collaborators of Maximilian Ilse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maximilian Ilse. Maximilian Ilse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Pérez‐García, Fernando, Harshita Sharma, Valentina Salvatelli, et al.. (2025). Exploring scalable medical image encoders beyond text supervision. Nature Machine Intelligence. 7(1). 119–130. 11 indexed citations

2.

Pérez‐García, Fernando, Shruthi Bannur, Daniel C. Castro, et al.. (2024). MAIRA at RRG24: A specialised large multimodal model for radiology report generation. 597–602. 4 indexed citations

3.

Bannur, Shruthi, Stephanie L. Hyland, Qianchu Liu, et al.. (2023). Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. 15016–15027. 62 indexed citations

4.

Ilse, Maximilian, Jakub M. Tomczak, Christos Louizos, & Max Welling. (2019). DIVA: Domain Invariant Variational Autoencoders. TNO Repository. 322–348. 11 indexed citations

5.

Ilse, Maximilian, Jakub M. Tomczak, Christos Louizos, & Max Welling. (2019). DIVA: Domain Invariant Variational Autoencoder.. 4 indexed citations

6.

Tomczak, Jakub M., Maximilian Ilse, Max Welling, et al.. (2018). Histopathological classification of precursor lesions of esophageal adenocarcinoma: A Deep Multiple Instance Learning Approach. Data Archiving and Networked Services (DANS). 5 indexed citations

7.

Ilse, Maximilian, Jakub M. Tomczak, & Max Welling. (2018). Attention-based Deep Multiple Instance Learning. UvA-DARE (University of Amsterdam). 80. 2127–2136. 69 indexed citations

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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