Exploring large scale public medical image datasets

Academic Radiology (Acad Radiol), 2019

30 July 2019

Papers citing "Exploring large scale public medical image datasets"

35 / 35 papers shown

Title
Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs Man Hu Xinyi Wu Zuofeng Suo Jinbo Feng Linghui Meng Yanhao Jia Anh Tuan Luu Shuai Zhao AAML LRM 96 0 0 09 Oct 2025
Glaucoma Detection and Structured OCT Report Generation via a Fine-tuned Multimodal Large Language Model Jalil Jalili Yashraj Gavhane Evan Walker Anna Heinke C. Bowd ... Jeffrey M. Liebmann Sally L. Baxter R. Weinreb L. Zangwill Mark Christopher 88 0 0 01 Oct 2025
Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Marcel Kleinmann Shashank Agnihotri Margret Keuper 146 0 0 22 Jul 2025
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis Yifan Jiang Yannick Lemaréchal Sophie Plante Josée Bafaro Jessica Abi-Rjeile Philippe Joubert Philippe Després Venkata Manem MedIm DiffM 308 3 0 21 Feb 2025
Copycats: the many lives of a publicly available medical imaging dataset Amelia Jiménez-Sánchez Natalia-Rozalia Avlona Dovile Juodelyte Théo Sourget Caroline Vang-Larsen Anna Rogers Hubert Dariusz Zajkac Veronika Cheplygina 255 4 0 09 Feb 2024
Exploring scalable medical image encoders beyond text supervision Fernando Pérez-García Harshita Sharma Sam Bond-Taylor Kenza Bouzid Valentina Salvatelli ... Maria T. A. Wetscherek Noel C. F. Codella Stephanie L. Hyland Javier Alvarez-Valle Ozan Oktay LM&MA MedIm 441 9 0 19 Jan 2024
Nodule detection and generation on chest X-rays: NODE21 ChallengeIEEE Transactions on Medical Imaging (IEEE TMI), 2024 Ecem Sogancioglu Bram van Ginneken F. Behrendt M. Bengs Alexander Schlaefer ... N. Hendrix Colin Jacobs Ward Hendrix Clara I. Sánchez K. Murphy 108 14 0 04 Jan 2024
Augmenting Chest X-ray Datasets with Non-Expert AnnotationsAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2023 Veronika Cheplygina Cathrine Damgaard Dovile Juodelyte Veronika Cheplygina Amelia Jiménez-Sánchez 244 5 0 05 Sep 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AIAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 H. D. Zając Natalia-Rozalia Avlona T. O. Andersen F. Kensing Irina Shklovski 120 28 0 12 Aug 2023
Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning Alessandro Wollek Philip Haitzer Thomas Sedlmeyr Sardi Hyska J. Rueckel B. Sabel Michael Ingrisch Tobias Lasser 138 0 0 09 Jun 2023
Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice Daniel Kvak Anna Chromcová P. Ovesná Jakub Dandár Marek Biroš R. Hrubý D. Dufek Marija Pajdaković 69 1 0 17 May 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 114 4 0 15 Dec 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image SegmentationMachine Learning for Biomedical Imaging (MLBI), 2022 Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Jean-Pierre Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 288 11 0 31 Oct 2022
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest RadiographsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Tae Soo Kim Geonwoon Jang Sanghyup Lee Thijs Kooi 134 9 0 30 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest RadiographIEEE Access (IEEE Access), 2021 Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 142 20 0 06 Aug 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray ClassificationIEEE International Conference on Computer Vision (ICCV), 2022 Yuanhong Chen Fengbei Liu Hu Wang Chong Wang Yu Tian Yuyuan Liu G. Carneiro NoLa 261 15 0 03 Mar 2022
Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans Nastaran Enshaei M. Rafiee Arash Mohammadi F. Naderkhani NoLa TDI 103 2 0 17 Oct 2021
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation Nicolae-Cătălin Ristea A. Miron O. Savencu Mariana-Iuliana Georgescu N. Verga Fahad Shahbaz Khan Radu Tudor Ionescu ViT MedIm 407 30 0 12 Oct 2021
DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray ScansmedRxiv (medRxiv), 2021 Hieu H. Pham D. Do H. Nguyen MedIm 126 19 0 14 Aug 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and SolutionsIEEE Access (IEEE Access), 2021 Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 205 34 0 20 Jul 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 193 387 0 15 Mar 2021
Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray DataScientific Reports (Sci Rep), 2021 Kai Packhauser Sebastian Gündel Nicolas Münster Christopher Syben Vincent Christlein Andreas Maier OOD 177 58 0 15 Mar 2021
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 Fengbei Liu Yuanhong Chen Yu Tian Yuyuan Liu Chong Wang Vasileios Belagiannis G. Carneiro 248 14 0 06 Mar 2021
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image LabelsACM Conference on Health, Inference, and Learning (CHIL), 2021 Saahil Jain Akshay Smit Steven QH Truong C. Nguyen Minh-Thanh Huynh Mudit Jain Victoria A Young A. Ng M. Lungren Pranav Rajpurkar MedIm 151 37 0 23 Feb 2021
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset Siyi Tang Amirata Ghorbani R. Yamashita Sameer Rehman Jared A. Dunnmon James Zou D. Rubin TDI 106 97 0 15 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs Bradley Max Segal D. Rubin G. Rubin Adam Pantanowitz MedIm 160 43 0 07 Oct 2020
Ethical Machine Learning in Health CareAnnual Review of Biomedical Data Science (ARBDS), 2020 Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 355 459 0 22 Sep 2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies Haomin Chen S. Miao Daguang Xu Gregory Hager Adam P. Harrison 130 32 0 11 Sep 2020
A Multisite, Report-Based, Centralized Infrastructure for Feedback and Monitoring of Radiology AI/ML Development and Clinical Deployment Menashe Benjamin G. Engelhard A. Aisen Yinon Aradi Elad Benjamin 76 1 0 31 Aug 2020
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets Beatriz Garcia Santa Cruz J. Sölter M. Bossa A. Husch OOD 189 11 0 26 Aug 2020
Learning across label confidence distributions using Filtered Transfer LearningInternational Conference on Machine Learning and Applications (ICMLA), 2020 S. Tonekaboni Andrew E. Brereton Z. Safikhani A. Windemuth B. Haibe-Kains S. MacKinnon FedML 73 3 0 03 Jun 2020
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 655 212 0 24 Mar 2020
On the limits of cross-domain generalization in automated X-ray predictionInternational Conference on Medical Imaging with Deep Learning (MIDL), 2020 Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 212 143 0 06 Feb 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical ImagingACM Conference on Health, Inference, and Learning (CHIL), 2019 Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 389 424 0 27 Sep 2019
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification E. Pooch P. Ballester Rodrigo C. Barros OOD 209 140 0 03 Sep 2019