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Keno K. Bressem
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All published works
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Title
Year
Authors
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Vision Foundation Models for Computed Tomography
2025
Suraj Pai
Ibrahim Hadžić
Dennis Bontempi
Keno K. Bressem
Benjamin H. Kann
Andriy Fedorov
Raymond H. Mak
Hugo J.W.L. Aerts
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PDF
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Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors
2024
Jacqueline Lammert
Nicole Pfarr
Leonid Kuligin
Sonja Mathes
Tobias Dreyer
Luise Modersohn
Patrick Metzger
Dyke Ferber
Jakob Nikolas Kather
Daniel Truhn
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Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
2024
Felix J. Dorfner
Amin Dada
Felix Busch
Marcus R. Makowski
Tianyu Han
Daniel Truhn
Jens Kleesiek
Madhumita Sushil
Jacqueline Lammert
Lisa C. Adams
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PDF
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RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation
2024
Soroosh Tayebi Arasteh
Mahshad Lotfinia
Keno K. Bressem
Robert Siepmann
Dyke Ferber
Christiane Kühl
Jakob Nikolas Kather
Sven Nebelung
Daniel Truhn
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PDF
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Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
2024
Felix J. Dorfner
Janis L. Vahldiek
Leonhard Donle
Andrei Zhukov
Lina Xu
Hartmut Häntze
Marcus R. Makowski
Hugo J.W.L. Aerts
Fabian Proft
Valeria Ríos Rodríguez
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MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences
2024
Hartmut Häntze
Lina Xu
Felix J. Dorfner
Leonhard Donle
Daniel Truhn
Hugo J.W.L. Aerts
Mathias Prokop
Bram van Ginneken
Alessa Hering
Lisa C. Adams
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PDF
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Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans
2024
Hartmut Häntze
Lina Xu
Leonhard Donle
Felix J. Dorfner
Alessa Hering
Lisa C. Adams
Keno K. Bressem
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Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties
2024
Felix Busch
Tianyu Han
Marcus R. Makowski
Daniel Truhn
Keno K. Bressem
Lisa C. Adams
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PDF
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Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports
2024
Felix J. Dorfner
Liv Jürgensen
Leonhard Donle
Fares Al Mohamad
Tobias R. Bodenmann
Mason C. Cleveland
Felix Busch
Lisa C. Adams
James Sato
Thomas Schultz
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LongHealth: A Question Answering Benchmark with Long Clinical Documents
2024
Lisa C. Adams
Felix Busch
Tianyu Han
Jean-Baptiste Excoffier
Matthieu Ortala
Alexander Löser
Hugo J.W.L. Aerts
Jakob Nikolas Kather
Daniel Truhn
Keno K. Bressem
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Generalist embedding models are better at short-context clinical semantic search than specialized embedding models
2024
Jean-Baptiste Excoffier
Tom Roehr
Alexei Figueroa
Michalis Papaaioannou
Keno K. Bressem
Matthieu Ortala
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From Global Health to Global Warming: Tracing Climate Change Interest during the First Two Years of COVID-19 Using Google Trends Data from the United States
2023
Lena Hoffmann
Keno K. Bressem
Jonas Cittadino
Christopher Rueger
Phillip Suwalski
Jakob Meinel
Simon Funken
Felix Busch
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PDF
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medBERT.de: A comprehensive German BERT model for the medical domain
2023
Keno K. Bressem
Jens-Michalis Papaioannou
Paul Grundmann
Florian Borchert
Lisa C. Adams
Leonhard Liu
Felix Busch
Lina Xu
Jan P. Loyen
Stefan M. Niehues
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Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study
2023
Lisa C. Adams
Daniel Truhn
Felix Busch
Avan Kader
Stefan M. Niehues
Marcus R. Makowski
Keno K. Bressem
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PDF
Chat
What Does DALL-E 2 Know About Radiology?
2023
Lisa C. Adams
Felix Busch
Daniel Truhn
Marcus R. Makowski
Hugo J.W.L. Aerts
Keno K. Bressem
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MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain
2023
Keno K. Bressem
Jens-Michalis Papaioannou
Paul Grundmann
Florian Borchert
Lisa C. Adams
Leonhard Liu
Felix Busch
Lina Xu
Jan P. Loyen
Stefan M. Niehues
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MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
2023
Tianyu Han
Lisa C. Adams
Jens-Michalis Papaioannou
Paul Grundmann
Tom Oberhauser
Alexander Löser
Daniel Truhn
Keno K. Bressem
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Medical Foundation Models are Susceptible to Targeted Misinformation Attacks
2023
Tianyu Han
Sven Nebelung
Firas Khader
Tianci Wang
Gustav Mueller-Franzes
Christiane Kühl
Sebastian Försch
Jens Kleesiek
Christoph Haarburger
Keno K. Bressem
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From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties
2023
Felix Busch
Tianyu Han
Marcus R. Makowski
Daniel Truhn
Keno K. Bressem
Lisa C. Adams
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Dataset: From Global Health to Global Warming: Tracing Climate Change Interest During the First Two Years of COVID-19 using Google Trends Data from the United States
2023
Lena Hoffmann
Keno K. Bressem
Jonas Cittadino
Christopher Rueger
Phillip Suwalski
Jakob Meinel
Simon Funken
Felix Busch
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What Does DALL-E 2 Know About Radiology?
2022
Lisa C. Adams
Felix Busch
Daniel Truhn
Marcus R. Makowski
Hugo J.W.L. Aerts
Keno K. Bressem
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Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
2022
Firas Khader
Gustav Mueller-Franzes
Tianci Wang
Tianyu Han
Soroosh Tayebi Arasteh
Christoph Haarburger
Johannes Stegmaier
Keno K. Bressem
Christiane Kühl
Sven Nebelung
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PDF
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3D U-Net For Segmentation of Covid-19-Associated Pulmonary Infiltrates Using Transfer Learning: State-Of-The-Art Results on Affordable Hardware
2021
Keno K. Bressem
Stefan M. Niehues
Günther Engel
Bernd Hamm
Marcus R. Makowski
Janis L. Vahldiek
Lisa C. Adams
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3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware
2021
Keno K. Bressem
Stefan M. Niehues
Bernd Hamm
Marcus R. Makowski
Janis L. Vahldiek
Lisa C. Adams
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PDF
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Comparing different deep learning architectures for classification of chest radiographs
2020
Keno K. Bressem
Lisa C. Adams
Christoph Erxleben
Bernd Hamm
Stefan M. Niehues
Janis L. Vahldiek
Common Coauthors
Coauthor
Papers Together
Lisa C. Adams
18
Daniel Truhn
13
Felix Busch
12
Hugo J.W.L. Aerts
8
Stefan M. Niehues
6
Marcus R. Makowski
6
Jakob Nikolas Kather
5
Felix J. Dorfner
4
Janis L. Vahldiek
4
Leonhard Donle
4
Alexander Löser
4
Sven Nebelung
3
Christiane Kühl
3
Lina Xu
3
Hartmut Häntze
3
Bernd Hamm
3
Jens-Michalis Papaioannou
3
Marcus R. Makowski
3
Tianyu Han
3
Tianyu Han
3
Paul Grundmann
3
Lina Xu
2
Jakob Meinel
2
Leonhard Liu
2
Phillip Suwalski
2
Firas Khader
2
Moritz Augustin
2
Jean-Baptiste Excoffier
2
Christoph Haarburger
2
Gustav Mueller-Franzes
2
Soroosh Tayebi Arasteh
2
Alessa Hering
2
Jacqueline Lammert
2
Matthieu Ortala
2
Jens Kleesiek
2
Jan P. Loyen
2
Simon Funken
2
Christopher Rueger
2
Jonas Cittadino
2
Lena Hoffmann
2
Florian Borchert
2
Dyke Ferber
2
Lennart Grosser
2
Tianci Wang
2
Marcus R. Makowski
2
Tobias R. Bodenmann
1
James Sato
1
Leonid Kuligin
1
Fares Al Mohamad
1
Andrei Zhukov
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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PDF
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
2
+
PDF
Chat
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
2021
裕二 池谷
Robert Tinn
Hao Cheng
Michael Lucas
Naoto Usuyama
Xiaodong Liu
Tristan Naumann
Jianfeng Gao
Hoifung Poon
2
+
PDF
Chat
GERNERMED: An open German medical NER model
2021
Johann Frei
Frank Krämer
2
+
Hierarchical Text-Conditional Image Generation with CLIP Latents
2022
Aditya Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
2
+
A very preliminary analysis of DALL-E 2
2022
Gary Marcus
Ernest Davis
Scott Aaronson
2
+
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
2021
Alex Nichol
Prafulla Dhariwal
Aditya Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
2
+
Synthetic Data -- what, why and how?
2022
J.B. Jordon
Łukasz Szpruch
Florimond Houssiau
Mirko Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
2
+
PDF
Chat
German’s Next Language Model
2020
Branden Chan
Stefan Schweter
Timo Möller
2
+
PDF
Chat
Fastai: A Layered API for Deep Learning
2020
Jeremy Howard
Sylvain Gugger
2
+
PDF
Chat
Cyclical Learning Rates for Training Neural Networks
2017
Leslie N. Smith
2
+
GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines
2020
Florian Borchert
Christina Lohr
Luise Modersohn
Thomas Langer
Markus Follmann
Jan Philipp Sachs
Udo Hahn
Matthieu-P. Schapranow
2
+
Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods
2020
J.B. Jordon
A. Wilson
Mihaela van der Schaar
2
+
PDF
Chat
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
2021
Laila Rasmy
Yang Xiang
Ziqian Xie
Cui Tao
Degui Zhi
2
+
Testing Relational Understanding in Text-Guided Image Generation
2022
Colin Conwell
Tomer Ullman
2
+
PyTorch: An Imperative Style, High-Performance Deep Learning Library
2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
2
+
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
2021
Phillip Rust
Jonas Pfeiffer
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
2
+
PDF
Chat
Deduplicating Training Data Makes Language Models Better
2022
Katherine Lee
Daphne Ippolito
Andrew Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
2
+
Capabilities of GPT-4 on Medical Challenge Problems
2023
Harsha Nori
Nicholas King
Scott Mayer McKinney
Dean Carignan
Eric Horvitz
2
+
Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study
2023
Lisa C. Adams
Daniel Truhn
Felix Busch
Avan Kader
Stefan M. Niehues
Marcus R. Makowski
Keno K. Bressem
2
+
Med-Flamingo: a Multimodal Medical Few-shot Learner
2023
Michael Moor
Qian Huang
Shirley Wu
Michihiro Yasunaga
Cyril Zakka
Yash Dalmia
Eduardo Pontes Reis
Pranav Rajpurkar
Jure Leskovec
2
+
PDF
Chat
How much pretraining data do language models need to learn syntax?
2021
Laura Pérez-Mayos
Miguel Ballesteros
Leo Wanner
2
+
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
2023
Zhengyuan Yang
Linjie Li
Kevin Lin
Jianfeng Wang
Chung-Ching Lin
Zicheng Liu
Lijuan Wang
2
+
MosMedData: Chest CT Scans with COVID-19 Related Findings Dataset
2020
С. П. Морозов
Anna Andreychenko
Nikolay Pavlov
Anton V. Vladzymyrskyy
N. V. Ledikhova
Victor А. Gombolevskiy
Ivan A. Blokhin
Pavel Gelezhe
А В Гончарь
Valeria Chernina
1
+
PDF
Chat
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis
2020
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
1
+
PDF
Chat
Public Awareness of Nature and the Environment During the COVID-19 Crisis
2020
Sandra Rousseau
Nick Deschacht
1
+
PDF
Chat
Tracking Mask Mandates During the Covid-19 Pandemic
2020
Austin L. Wright
Geet Chawla
Liming Chen
Anthony Farmer
1
+
PDF
Chat
Generative adversarial networks
2020
Ian Goodfellow
Jean Pouget-Abadie
Mehdi Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
1
+
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
2020
Pedro Ortiz Suarez
Laurent Romary
Benoît Sagot
1
+
PDF
Chat
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
2020
Linda Wang
Zhong Qiu Lin
Alexander Wong
1
+
GottBERT: a pure German Language Model
2020
Raphael Scheible
Fabian Thomczyk
Patric Tippmann
Victor Jaravine
Martin Boeker
1
+
PDF
Chat
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation
2020
Jun Ma
Yixin Wang
Xingle An
Cheng Ge
Ziqi Yu
Jianan Chen
Qiongjie Zhu
Guoqiang Dong
Jian He
Zhiqiang He
1
+
The New SARS-CoV-2 Strain Shows a Stronger Binding Affinity to ACE2 Due to N501Y Mutation
2021
Fedaa Ali
Amal Kasry
Muhamed Amin
1
+
PDF
Chat
Assessment of COVID-19 Information Overload Among the General Public
2021
Mustapha Mohammed
Abubakar Sha’aban
Abubakar Ibrahim Jatau
Ismaeel Yunusa
Abubakar Musa Isa
Abubakar Sadiq Wada
Kehinde Obamiro
Hadzliana Zainal
Baharudin Ibrahim
1
+
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014
Karen Simonyan
Andrew Zisserman
1
+
PDF
Chat
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation
2021
August DuMont Schütte
Jürgen Hetzel
Sergios Gatidis
Tobias Hepp
Benedikt Dietz
Stefan Bauer
Patrick Schwab
1
+
PDF
Chat
A Multi-Stage GAN for Multi-Organ Chest X-ray Image Generation and Segmentation
2021
Giorgio Ciano
Paolo Andreini
Tommaso Mazzierli
Monica Bianchini
Franco Scarselli
1
+
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
2022
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
Emily Denton
Seyed Kamyar Seyed Ghasemipour
Burcu Karagol Ayan
S. Sara Mahdavi
Rapha Gontijo Lopes
1
+
Vaccination-hesitancy and global warming: distinct social challenges with similar behavioural solutions
2022
Ilan Fischer
Daniel I. Rubenstein
Simon A. Levin
1
+
Climate change and COVID-19: Interdisciplinary perspectives from two global crises
2022
Danial Khojasteh
Ehsan Davani
Abbas Shamsipour
Milad Haghani
William Glamore
1
+
Mask or No Mask for COVID-19? Do the Individual Characteristics of Governors Affect the Adoption of Statewide Public Mask Mandates?
2022
Can Chen
Derrick Boakye Boadu
Rikui Xiao
1
+
Classifier-Free Diffusion Guidance
2022
Jonathan Ho
Tim Salimans
1
+
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
2020
S. P. Morozov
A. E. Andreychenko
N. A. Pavlov
Anton V. Vladzymyrskyy
N. V. Ledikhova
Victor А. Gombolevskiy
Ivan A. Blokhin
P. B. Gelezhe
A. V. Gonchar
Valeria Chernina
1
+
On Convergence and Stability of GANs
2017
Naveen Kodali
Jacob Abernethy
James Hays
Zsolt Kira
1
+
The Creativity of Text-to-Image Generation
2022
Jonas Oppenlaender
1
+
Spanish Pre-trained BERT Model and Evaluation Data
2023
José Cañete
Gabriel Chaperon
Rodrigo Fuentes
Jou-Hui Ho
Ho-Jin Kang
Jorge Eduardo Pérez Pérez
1
+
Diffusion Models Beat GANs on Image Synthesis
2021
Prafulla Dhariwal
Alex Nichol
1
+
PDF
Chat
Deep Residual Learning for Image Recognition
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
2016
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
1
+
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
2016
Forrest Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
William J. Dally
Kurt Keutzer
1
+
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
2017
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
Tony Duan
Daisy Yi Ding
Aarti Bagul
Curtis P. Langlotz
Katie Shpanskaya
1