Title
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? Che Liu Zhongwei Wan Haozhe Wang Yinda Chen T. Qaiser Chen Jin Fariba Yousefi Nikolay Burlutskiy Rossella Arcucci VLM SyDa LM&MA MedIm 69 2 0 17 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 146 1 0 05 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 62 0 0 02 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 37 0 0 01 Oct 2024
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity Hanqi Jiang Xixuan Hao Yuzhou Huang Chong Ma Jiaxun Zhang Yi Pan Ruimao Zhang MedIm 37 0 0 01 Oct 2024
Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography Yuexi Du John Onofrey Nicha Dvornek VLM 53 1 0 26 Sep 2024
Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification Anirudh Mazumder Jianguo Liu MedIm ViT 26 0 0 26 Sep 2024
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation J. N. Acosta Xiaoman Zhang Siddhant Dogra Hong-Yu Zhou Seyedmehdi Payabvash Guido J. Falcone Eric K. Oermann Pranav Rajpurkar MedIm 28 0 0 19 Sep 2024
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 49 2 0 16 Sep 2024
On Synthetic Texture Datasets: Challenges, Creation, and Curation Blaine Hoak Patrick McDaniel EGVM 79 0 0 16 Sep 2024
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records Daeun Kyung J. Kim Tackeun Kim Edward Choi MedIm DiffM 43 1 0 11 Sep 2024
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks? Sicheng Wang Che Liu Rossella Arcucci VLM MedIm 48 0 0 31 Aug 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 53 0 0 31 Aug 2024
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes Theo Di Piazza 32 0 0 21 Aug 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models Xiaochen Wang Jiaqi Wang Houping Xiao Jianfei Chen Fenglong Ma MedIm 69 7 0 17 Aug 2024
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine Yunfei Xie Ce Zhou Lang Gao Juncheng Wu Xianhang Li ... Sheng Liu Lei Xing James Zou Cihang Xie Yuyin Zhou LM&MA MedIm 74 25 0 06 Aug 2024
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 45 0 0 05 Aug 2024
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering Danfeng Guo Sumitaka Honji LRM 82 0 0 31 Jul 2024
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation Liwen Sun James Zhao Megan Han Chenyan Xiong MedIm 63 8 0 21 Jul 2024
DALL-M: Context-Aware Clinical Data Augmentation with LLMs Chihcheng Hsieh Catarina Moreira Isabel Blanco Nobre Sandra Costa Sousa Chun Ouyang M. Brereton Joaquim A. Jorge Jacinto C. Nascimento 54 0 0 11 Jul 2024
MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks Elad Hirsch Gefen Dawidowicz A. Tal MedIm 39 1 0 04 Jul 2024
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification Benjamin Hou Qingqing Zhu T. Mathai Qiao Jin Zhiyong Lu Ronald M. Summers 14 1 0 06 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 25 21 0 25 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 58 3 0 23 May 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data Xinyi Wang Grazziela Figueredo Ruizhe Li W. Zhang Weitong Chen Xin Chen MedIm ViT 49 2 0 21 May 2024
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning Zishan Gu Fenglin Liu Changchang Yin Ping Zhang LRM LM&MA 58 0 0 19 May 2024
Automated Radiology Report Generation: A Review of Recent Advances Phillip Sloan Philip Clatworthy Edwin Simpson Majid Mirmehdi 32 17 0 17 May 2024
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification Yaoqin Ye Junjie Zhang Hongwei Shi MedIm VLM 49 0 0 10 May 2024
GREEN: Generative Radiology Report Evaluation and Error Notation Sophie Ostmeier Justin Xu Zhihong Chen Maya Varma Louis Blankemeier ... Arne Edward Michalson Michael E. Moseley Curtis P. Langlotz Akshay S. Chaudhari Jean-Benoit Delbrouck MedIm 48 22 0 06 May 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision M. Taher Michael B. Gotway Jianming Liang MedIm 34 5 0 24 Apr 2024
Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity Mohammad Zunaed Anwarul Hasan Taufiq Hasan 36 0 0 19 Apr 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 58 5 0 18 Apr 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 37 1 0 25 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks Ibrahim Almakky Santosh Sanjeev Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub Mohammad Yaqub FedML MoMe 85 3 0 18 Mar 2024
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training Zhixiu Lu Hailong Li N. Parikh Jonathan R. Dillman Lili He MedIm VLM 40 0 0 15 Mar 2024
Visual Privacy Auditing with Diffusion Models Kristian Schwethelm Johannes Kaiser Moritz Knolle Daniel Rueckert Daniel Rueckert Alexander Ziller DiffM AAML 35 0 0 12 Mar 2024
Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology Stefan Denner David Zimmerer Dimitrios Bounias Markus Bujotzek Shuhan Xiao Lisa Kausch Philipp Schader Tobias Penzkofer Paul F. Jäger Klaus Maier-Hein VLM MedIm 29 8 0 11 Mar 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification Ruinan Jin Wenlong Deng Minghui Chen Xiaoxiao Li MedIm 45 1 0 10 Mar 2024
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder Lei Li Tianfang Zhang Xinglin Zhang Jiaqi Liu Bingqi Ma Yan-chun Luo Tao Chen MedIm 45 0 0 07 Mar 2024
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports Felix J. Dorfner Liv Jürgensen Leonhard Donle Fares Al Mohamad Tobias R. Bodenmann ... Thomas Schultz Albert E. Kim J. Merkow Keno K. Bressem Christopher P. Bridge LM&MA VLM 33 7 0 19 Feb 2024
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling Philip Muller Felix Meissen Georgios Kaissis Daniel Rueckert 29 3 0 19 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 46 1 0 19 Feb 2024
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric Sayeh Gholipour Picha D. Chanti A. Caplier 46 2 0 19 Feb 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 30 0 0 14 Feb 2024
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs Patrick Wienholt Alexander Hermans Firas Khader B. Puladi Bastian Leibe Christiane Kuhl S. Nebelung Daniel Truhn 21 0 0 08 Feb 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion Xing Han Huy Nguyen Carl Harris Nhat Ho Suchi Saria MoE 77 16 0 05 Feb 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 35 17 0 24 Jan 2024
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement Cheng Li Weijian Huang Hao Yang Jiarun Liu Shanshan Wang MedIm 37 4 0 21 Jan 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling Mingjian Li Mingyuan Meng M. Fulham David Dagan Feng Lei Bi Jinman Kim VLM 48 1 0 19 Jan 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? Bidur Khanal Binod Bhattarai Bishesh Khanal Cristian A. Linte NoLa 21 0 0 15 Jan 2024