Title
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research Bardia Khosravi Frank Li Theo Dapamede Pouria Rouzrokh Cooper Gamble ... C. Wyles Andrew B. Sellergren S. Purkayastha Bradley J. Erickson J. Gichoya MedIm 86 18 0 15 Nov 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains Yuwen Chen Helen Zhou Zachary Chase Lipton 71 1 0 15 Nov 2023
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification Umar Marikkar Sara Atito Muhammad Awais Adam Mahdi MedIm ViT 81 8 0 13 Nov 2023
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction Yan Miao Lequan Yu 26 2 0 11 Nov 2023
Anonymizing medical case-based explanations through disentanglement Helena Montenegro Jaime S. Cardoso 50 9 0 08 Nov 2023
Be Careful When Evaluating Explanations Regarding Ground Truth Hubert Baniecki Maciej Chrabaszcz Andreas Holzinger Bastian Pfeifer Anna Saranti P. Biecek FAtt AAML 76 3 0 08 Nov 2023
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets F. Gulamali Ashwin S. Sawant L. Liharska C. R. Horowitz L. Chan ... E. Mensah Alexander W. Charney D. Reich J. Hu Girish N. Nadkarni 26 1 0 06 Nov 2023
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling Yu Tian Minfei Shi Yan Luo Ava Kouhana T. Elze Mengyu Wang 81 5 0 03 Nov 2023
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer CML 77 1 0 02 Nov 2023
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation Lijian Xu Ziyu Ni Xinglong Liu Xiaosong Wang Hongsheng Li Shaoting Zhang MedIm LM&MA 63 4 0 02 Nov 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 188 68 0 30 Oct 2023
Are Natural Domain Foundation Models Useful for Medical Image Classification? Joana Palés Huix Adithya Raju Ganeshan Johan Fredin Haslum Magnus P Soderberg Christos Matsoukas Kevin Smith OOD MedIm VLM 87 34 0 30 Oct 2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge G. Holste Yiliang Zhou Song Wang Ajay Jaiswal Mingquan Lin ... Zhiyong Lu Ronald M. Summers George Shih Zhangyang Wang Yifan Peng 60 16 0 24 Oct 2023
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms S. Mittal K. Thakral Richa Singh Mayank Vatsa Tamar Glaser Cristian Canton Ferrer Tal Hassner FaML 62 3 0 24 Oct 2023
Robust Learning via Conditional Prevalence Adjustment Minh Nguyen Alan Q. Wang Heejong Kim M. Sabuncu CML OOD 62 2 0 24 Oct 2023
Exploring the Boundaries of GPT-4 in Radiology Qianchu Liu Stephanie L. Hyland Shruthi Bannur Kenza Bouzid Daniel Coelho De Castro ... Anja Thieme A. Nori M. Lungren Ozan Oktay Javier Alvarez-Valle LM&MA AI4CE 88 41 0 23 Oct 2023
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation Zexue He Yu Wang An Yan Yao Liu Eric Y. Chang Amilcare Gentili Julian McAuley Chun-Nan Hsu ELM 202 17 0 21 Oct 2023
RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning Wenjun Hou Yi Cheng Kaishuai Xu Wenjie Li Jiangming Liu 76 16 0 21 Oct 2023
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training Kihyun You Jawook Gu Jiyeon Ham Beomhee Park Jiho Kim Eun K. Hong Woonhyuk Baek Byungseok Roh CLIP VLM 77 65 0 20 Oct 2023
AUC-mixup: Deep AUC Maximization with Mixup Jianzhi Xv Gang Li Tianbao Yang 45 0 0 18 Oct 2023
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys Yu Gu Jianwei Yang Naoto Usuyama Chun-yue Li Sheng Zhang M. Lungren Jianfeng Gao Hoifung Poon MedIm 109 24 0 16 Oct 2023
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance Dongao Ma Jiaxuan Pang Michael B. Gotway Jianming Liang MedIm OOD 70 10 0 14 Oct 2023
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training Che Liu Sibo Cheng Miaojing Shi Anand Shah Wenjia Bai Rossella Arcucci 94 27 0 11 Oct 2023
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images Che Liu Anand Shah Wenjia Bai Rossella Arcucci MedIm 113 14 0 10 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 46 0 0 10 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 99 27 0 09 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 122 14 0 08 Oct 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling Yan Luo Muhammad Osama Khan Yu Tian Minfei Shi Zehao Dou T. Elze Yi Fang Mengyu Wang 66 10 0 03 Oct 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 84 3 0 29 Sep 2023
Convolutional Networks with Oriented 1D Kernels Alexandre Kirchmeyer Jia Deng 106 5 0 27 Sep 2023
(Predictable) Performance Bias in Unsupervised Anomaly Detection Felix Meissen Svenja Breuer Moritz Knolle Alena Buyx R. Muller Georgios Kaissis Benedikt Wiestler Daniel Rückert OOD 71 5 0 25 Sep 2023
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks Vinitra Swamy Malika Satayeva Jibril Frej Thierry Bossy Thijs Vogels Martin Jaggi Tanja Käser Mary-Anne Hartley 68 14 0 25 Sep 2023
A Survey on Image-text Multimodal Models Ruifeng Guo Jingxuan Wei Linzhuang Sun Khai-Nguyen Nguyen Guiyong Chang Dawei Liu Sibo Zhang Zhengbing Yao Mingjun Xu Liping Bu VLM 128 7 0 23 Sep 2023
Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images Muhammad Muneeb Saad M. H. Rehmani Ruairi O'Reilly MedIm GAN 70 1 0 21 Sep 2023
PIE: Simulating Disease Progression via Progressive Image Editing Kaizhao Liang Xu Cao Kuei-Da Liao Tianren Gao Wenqian Ye Zhengyu Chen Jianguo Cao Tejas Nama Jimeng Sun MedIm AI4CE 86 5 0 21 Sep 2023
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images S. Rajaraman Ghada Zamzmi Feng Yang Zhaohui Liang Z. Xue Sameer Kiran Antani 23 4 0 20 Sep 2023
R2GenGPT: Radiology Report Generation with Frozen LLMs Zhanyu Wang Lingqiao Liu Lei Wang Luping Zhou MedIm LM&MA VLM 93 75 0 18 Sep 2023
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays S. Rajaraman Ghada Zamzmi Feng Yang Zhaohui Liang Z. Xue Sameer Kiran Antani 20 4 0 18 Sep 2023
Towards Reliable Dermatology Evaluation Benchmarks Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Matthew Groh Roxana Daneshjou Labelling Consortium Alexander A. Navarini Marc Pouly 89 5 0 13 Sep 2023
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training Jiayu Lei Lisong Dai Haoyun Jiang Chaoyi Wu Xiaoman Zhang ... Weidi Xie Yanyong Zhang Yuehua Li Ya Zhang Yanfeng Wang 71 11 0 13 Sep 2023
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning Weijian Huang Cheng Li Hao Yang Jiarun Liu Shanshan Wang MedIm 64 26 0 12 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 86 0 0 08 Sep 2023
How Can We Tame the Long-Tail of Chest X-ray Datasets? Arsh Verma OOD 71 2 0 08 Sep 2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning Mengliang Zhang Xinyue Hu Lin Gu Liangchen Liu Kazuma Kobayashi Tatsuya Harada Ronald M. Summers Yingying Zhu 115 4 0 06 Sep 2023
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach Jikai Zhang Carlos Santos Christine Park Maciej A. Mazurowski R. Colglazier 40 2 0 06 Sep 2023
Anatomy-Driven Pathology Detection on Chest X-rays Philipp Muller Felix Meissen Johannes Brandt Georgios Kaissis Daniel Rueckert 29 9 0 05 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images Blake Vanberlo Jesse Hoey Alexander Wong SSL LM&MA 91 2 0 05 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations Veronika Cheplygina Cathrine Damgaard Dovile Juodelyte Veronika Cheplygina Amelia Jiménez-Sánchez 145 4 0 05 Sep 2023
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports Ethan Dack Lorenzo Brigato Matthew McMurray Matthias Fontanellaz Thomas Frauenfelder ... Thomas Geiser M. Funke-Chambour Andreas Christe L. Ebner Stavroula Mougiakakou 78 2 0 04 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging Harry Anthony Konstantinos Kamnitsas 89 12 0 04 Sep 2023