Keno K. Bressem

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All published works
Action Title Year Authors
+ PDF Chat 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
+ PDF Chat 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
+ PDF Chat 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
+ PDF Chat 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
+ PDF Chat 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
+ PDF Chat 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
+ PDF Chat 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
+ 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
+ PDF Chat 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
+ PDF Chat 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
+ 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
+ PDF Chat 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
+ PDF Chat 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
+ 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
+ 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
+ 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
+ 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
+ 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
+ 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
+ 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
+ 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
+ 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
+ PDF Chat 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
+ 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
+ PDF Chat 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
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat 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