Title
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification Dequan Wang Xiaosong Wang Lilong Wang Mengzhang Li Q. Da ... Qi Duan Jie Zhao Kang Li Yu Qiao Shaoting Zhang VLM MedIm 83 35 0 16 Jun 2023
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images Yanru Chen Michael T Lu V. Raghu SSL 95 0 0 15 Jun 2023
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports Qingqing Zhu T. Mathai P. Mukherjee Yifan Peng Ronald M. Summers Zhiyong Lu 72 18 0 14 Jun 2023
Radiology-GPT: A Large Language Model for Radiology Zheng Liu Aoxiao Zhong Yiwei Li Longtao Yang Chao Ju ... Wen Liu Dinggang Shen Xiang Li Quanzheng Li Tianming Liu LM&MA MedIm AI4CE 143 60 0 14 Jun 2023
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy Soroosh Tayebi Arasteh Mahshad Lotfinia T. Nolte Marwin Saehn P. Isfort Christiane Kuhl S. Nebelung Georgios Kaissis Daniel Truhn MedIm 73 9 0 10 Jun 2023
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark Li Xu Bo Liu Ameer Hamza Khan Lu Fan Xiao-Ming Wu LM&MA 62 9 0 10 Jun 2023
ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning Wenjun Hou Kaishuai Xu Yi Cheng Wenjie Li Jiangming Liu 77 35 0 10 Jun 2023
WindowNet: Learnable Windows for Chest X-ray Classification Alessandro Wollek Sardi Hyska B. Sabel Michael Ingrisch Tobias Lasser 57 2 0 09 Jun 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 50 0 0 09 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 126 140 0 09 Jun 2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal Anastasiia Sedova Lena Zellinger Benjamin Roth 51 3 0 07 Jun 2023
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation Sanjeev Kumar Karn Rikhiya Ghosh P. Kusuma Oladimeji Farri LM&MA MedIm AI4CE 62 12 0 05 Jun 2023
LibAUC: A Deep Learning Library for X-Risk Optimization Zhuoning Yuan Dixian Zhu Zimeng Qiu Gang Li Xuanhui Wang Tianbao Yang BDL 113 16 0 05 Jun 2023
German CheXpert Chest X-ray Radiology Report Labeler Alessandro Wollek Sardi Hyska Thomas Sedlmeyr Philip Haitzer J. Rueckel B. Sabel Michael Ingrisch Tobias Lasser 46 4 0 05 Jun 2023
RadLing: Towards Efficient Radiology Report Understanding Rikhiya Ghosh Sanjeev Kumar Karn Manuela Danu Larisa Micu Ramya Vunikili Oladimeji Farri MedIm 59 6 0 04 Jun 2023
ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation Wen-wai Yim Yujuan Fu Asma Ben Abacha Neal Snider Thomas Lin Meliha Yetisgen 89 89 0 03 Jun 2023
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance Weizhi Nie Chen Zhang Dan Song Lina Zhao Yunpeng Bai Keliang Xie Anan Liu 74 2 0 02 Jun 2023
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification Cara Van Uden Christian Blüthgen Maayane Attias M. Polacin H. Guo N. Simha Rishi Raj C. Langlotz VLM 42 2 0 01 Jun 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias Zhongwei Wan Che Liu Mi Zhang Jie Fu Benyou Wang Sibo Cheng Lei Ma César Quilodrán-Casas Rossella Arcucci 106 77 0 31 May 2023
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification Bin Wang Hongyi Pan Armstrong Aboah Zheyu Zhang Elif Keles Drew Torigian Baris Turkbey Elizabeth A. Krupinski Jayaram K. Udupa Ulas Bagci 115 25 0 29 May 2023
Distilling BlackBox to Interpretable models for Efficient Transfer Learning Shantanu Ghosh K. Yu Kayhan Batmanghelich 83 4 0 26 May 2023
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks Kai Zhang Jun Yu Eashan Adhikarla Rong Zhou Zhilin Yan ... Xun Chen Yong Chen Quanzheng Li Hongfang Liu Lichao Sun LM&MA MedIm 103 185 0 26 May 2023
S4M: Generating Radiology Reports by A Single Model for Multiple Body Parts Qi Chen Yutong Xie Biao Wu Minh-Son To James Ang Qi Wu 42 3 0 26 May 2023
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images Xiaodan Xing F. Felder Yang Nan G. Papanastasiou Simon Walsh Guang Yang DiffM MedIm 52 12 0 25 May 2023
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs Zihao Zhao Sheng Wang Jinchen Gu Yitao Zhu Lanzhuju Mei Zixu Zhuang Zhiming Cui Qian Wang Dinggang Shen LM&MA 116 43 0 25 May 2023
Anomaly Detection with Conditioned Denoising Diffusion Models Arian Mousakhan Thomas Brox Jawad Tayyub DiffM 97 59 0 25 May 2023
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging Pranav Kulkarni Sean Garin Adway U. Kanhere E. Siegel Paul H. Yi Vishwa S. Parekh MedIm 23 1 0 24 May 2023
Deep Learning for Survival Analysis: A Review S. Wiegrebe Philipp Kopper R. Sonabend Bernd Bischl Andreas Bender 79 78 0 24 May 2023
Chest X-ray Image Classification: A Causal Perspective Weizhi Nie Chen Zhang Dan Song Lina Zhao Yunru Bai Keliang Xie Anan Liu CML 72 13 0 20 May 2023
Instrumental Variable Learning for Chest X-ray Classification Weizhi Nie Chen Zhang Dan Song Yunpeng Bai Keliang Xie Anan Liu CML 76 5 0 20 May 2023
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation Suhyeon Lee Won Jun Kim Jinho Chang Jong Chul Ye MedIm 140 51 0 19 May 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks Chongyu Qu Tiezheng Zhang Hualin Qiao Jie Liu Yucheng Tang Alan Yuille Zongwei Zhou 130 39 0 16 May 2023
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion Zexue He An Yan Amilcare Gentili Julian McAuley Chun-Nan Hsu MedIm 60 2 0 15 May 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu Bokun Wang Zhi Chen Yaxing Wang Milan Sonka Xiaodong Wu Tianbao Yang 134 3 0 14 May 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems Cara Van Uden Jeremy Irvin Mars Huang N. Dean J. Carr A. Ng C. Langlotz OOD 54 1 0 13 May 2023
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training Kecheng Zhang Shuai Liu Jun Yu Han Jiang Jianping Fan Qing-An Huang Weidong Han MedIm 78 33 0 13 May 2023
Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives Bhanu Prakash Voutharoja Lei Wang Luping Zhou MedIm 60 8 0 11 May 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 64 0 0 10 May 2023
Explainable Knowledge Distillation for On-device Chest X-Ray Classification C. Termritthikun Ayaz Umer Suwichaya Suwanwimolkul Xiwei Xu Ivan Lee 80 14 0 10 May 2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity Nannan Wu Li Yu Xue Jiang Kwang-Ting Cheng Zengqiang Yan FedML 114 38 0 09 May 2023
Boosting Radiology Report Generation by Infusing Comparison Prior Sang-Hun Kim Farhad Nooralahzadeh Morteza Rohanian Koji Fujimoto Mizuho Nishio R. Sakamoto F. Rinaldi Michael Krauthammer MedIm 33 4 0 08 May 2023
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention Kwanhyung Lee Soojeong Lee Sangchul Hahn Heejung Hyun Edward Choi Byungeun Ahn Joohyung Lee 86 18 0 04 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 64 2 0 04 May 2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models Dave Van Veen Cara Van Uden Maayane Attias Anuj Pareek Christian Blüthgen ... Jean-Benoit Delbrouck Juan Manuel Zambrano Chaves C. Langlotz Akshay S. Chaudhari John M. Pauly LM&MA 87 29 0 02 May 2023
Scalable Data Point Valuation in Decentralized Learning Konstantin D. Pandl Chun-Yin Huang Ivan Beschastnikh Xiaoxiao Li Scott Thiebes Ali Sunyaev FedML TDI 56 0 0 01 May 2023
X-ray Recognition: Patient identification from X-rays using a contrastive objective Hao Liang Kevin Ni Guha Balakrishnan 29 0 0 29 Apr 2023
Visualizing chest X-ray dataset biases using GANs Hao Liang Kevin Ni Guha Balakrishnan CML MedIm GAN 60 1 0 29 Apr 2023
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining Bingqian Lin Zicong Chen Mingjie Li Haokun Lin Hang Xu ... Ling-Hao Chen Xiaojun Chang Yi Yang L. Xing Xiaodan Liang LM&MA MedIm AI4CE 92 14 0 26 Apr 2023
Sample-Specific Debiasing for Better Image-Text Models Peiqi Wang Yingcheng Liu Ching-Yun Ko W. Wells Seth Berkowitz Steven Horng Polina Golland SSL MedIm 111 1 0 25 Apr 2023
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis Xiao Qi D. Foran J. Nosher Ilker Hacihaliloglu MedIm 68 0 0 25 Apr 2023