Title
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council Luyang Luo Xin Huang Minghao Wang Zhuoyue Wan Hao Chen 212 2 0 22 Jan 2024
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-trainingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Jiuming Qin Che Liu Sibo Cheng Wenhan Luo Rossella Arcucci VLM MedIm 138 7 0 02 Jan 2024
On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images Gauri Bhardwaj Yuvaraj Govindarajulu Sundaraparipurnan Narayanan Pavan Kulkarni Manojkumar Somabhai Parmar MedIm DiffM 120 3 0 12 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision Ravidu Suien Rammuni Silva Jordan J. Bird FAtt 184 2 0 10 Dec 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging ResearchEBioMedicine (EBioMedicine), 2023 Bardia Khosravi Frank Li Theo Dapamede Pouria Rouzrokh Cooper Gamble ... C. Wyles Andrew B. Sellergren S. Purkayastha Bradley J. Erickson J. Gichoya MedIm 248 38 0 15 Nov 2023
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings Tobias Weber Michael Ingrisch B. Bischl David Rügamer CML 230 1 0 02 Nov 2023
How Can We Tame the Long-Tail of Chest X-ray Datasets? Arsh Verma OOD 180 3 0 08 Sep 2023
Stability Guarantees for Feature Attributions with Multiplicative SmoothingNeural Information Processing Systems (NeurIPS), 2023 Anton Xue Rajeev Alur Eric Wong 305 12 0 12 Jul 2023
KiUT: Knowledge-injected U-Transformer for Radiology Report GenerationComputer Vision and Pattern Recognition (CVPR), 2023 Zhongzhen Huang Xiaofan Zhang Shaoting Zhang MedIm 230 90 0 20 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models Virginia Fernandez Pedro Sanchez W. H. Pinaya Grzegorz Jacenków Sotirios A. Tsaftaris Jorge Cardoso 144 21 0 02 Jun 2023
PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray ImagesInterspeech (Interspeech), 2023 Kubilay Can Demir Tobias Weise M. May Axel Schmid Andreas Maier Seung Hee Yang 112 1 0 25 May 2023
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationInternational Conference on Learning Representations (ICLR), 2023 Suhyeon Lee Won Jun Kim Jinho Chang Jong Chul Ye MedIm 507 70 0 19 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed OpportunityInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 383 72 0 14 May 2023
The Effect of Counterfactuals on Reading Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari MedIm 64 0 0 02 Apr 2023
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and InterpretabilityAAAI Conference on Artificial Intelligence (AAAI), 2023 Mischa Dombrowski Hadrien Reynaud Johanna P. Müller Matthew Baugh Bernhard Kainz MedIm 158 11 0 31 Mar 2023
Vision-Language Generative Model for View-Specific Chest X-ray GenerationACM Conference on Health, Inference, and Learning (CHIL), 2023 HyunGyung Lee Dayun Lee Wonjae Kim Jin-Hwa Kim Tackeun Kim Jihang Kim Leonard Sunwoo Edward Choi LM&MA MedIm 486 11 0 23 Feb 2023
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging Chaoyi Wu Xiaoman Zhang Yanfeng Wang Ya Zhang Weidi Xie MedIm 154 9 0 22 Feb 2023
Multimodal Explainability via Latent Shift applied to COVID-19 stratificationPattern Recognition (Pattern Recogn.), 2022 V. Guarrasi L. Tronchin Domenico Albano E. Faiella Deborah Fazzini D. Santucci Paolo Soda 241 31 0 28 Dec 2022
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 265 0 0 28 Nov 2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre J. Chambon Christian Blüthgen Jean-Benoit Delbrouck Rogier van der Sluijs M. Polacin Juan Manuel Zambrano Chaves Tanishq Mathew Abraham Shivanshu Purohit C. Langlotz Akshay S. Chaudhari LM&MA DiffM MedIm 204 118 0 23 Nov 2022
DeltaNet:Conditional Medical Report Generation for COVID-19 DiagnosisInternational Conference on Computational Linguistics (COLING), 2022 Xian Wu Shuxin Yang Zhaopeng Qiu Shen Ge Yangtian Yan Xingwang Wu Yefeng Zheng S. Kevin Zhou Li Xiao MedIm 210 24 0 12 Nov 2022
Does Medical Imaging learn different Convolution Filters? Paul Gavrikov J. Keuper VLM OOD 105 2 0 25 Oct 2022
Deep Model ReassemblyNeural Information Processing Systems (NeurIPS), 2022 Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 240 144 0 24 Oct 2022
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains Pierre J. Chambon Christian Blüthgen C. Langlotz Akshay S. Chaudhari DiffM MedIm LM&MA 154 133 0 09 Oct 2022
Medical Image Captioning via Generative Pretrained TransformersScientific Reports (Sci Rep), 2022 Alexander Selivanov Oleg Y. Rogov Daniil Chesakov Artem Shelmanov Irina Fedulova Dmitry V. Dylov MedIm 175 87 0 28 Sep 2022
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-RaysInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Gaurang Karwande Amarachi Mbakawe Joy T. Wu Leo Anthony Celi Mehdi Moradi Ismini Lourentzou 159 20 0 08 Aug 2022
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 292 15 0 21 Jul 2022
Suppressing Poisoning Attacks on Federated Learning for Medical ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Naif Alkhunaizi Dmitry Kamzolov Martin Takávc Karthik Nandakumar OOD 126 14 0 15 Jul 2022
Explaining Chest X-ray Pathologies in Natural LanguageInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Maxime Kayser Cornelius Emde Oana-Maria Camburu Guy Parsons B. Papież Thomas Lukasiewicz MedIm 140 32 0 09 Jul 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 169 0 0 27 Apr 2022
Pseudo Bias-Balanced Learning for Debiased Chest X-ray ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Luyang Luo Dunyuan Xu Hao Chen T. Wong Pheng-Ann Heng CML OOD 131 25 0 18 Mar 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 301 15 0 03 Mar 2022
Integrated multimodal artificial intelligence framework for healthcare applicationsnpj Digital Medicine (NDM), 2022 L. Soenksen Yu Ma C. Zeng L. Boussioux Kimberly Villalobos Carballo Liangyuan Na H. Wiberg Michael Lingzhi Li Ignacio Fuentes Dimitris Bertsimas 333 230 0 25 Feb 2022
MMLN: Leveraging Domain Knowledge for Multimodal DiagnosisInternational Symposium on Bioinformatics Research and Applications (ISBRA), 2022 Haodi Zhang Chenyu Xu Pei-hong Liang Ke Duan Haopan Ren Weibin Cheng Kaishun Wu 62 0 0 09 Feb 2022
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification I. Hamdi Muhammad Ridzuan Mohammad Yaqub LM&MA 269 0 0 26 Jan 2022
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge Shuxin Yang Xian Wu Shen Ge S.Kevin Zhou Li Xiao MedIm 204 175 0 30 Dec 2021
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models E. Tetteh J. Viviano Yoshua Bengio David M. Krueger Joseph Paul Cohen OOD 142 3 0 27 Dec 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest ImagesIEEE International Joint Conference on Neural Network (IJCNN), 2021 Mehdi Cherti J. Jitsev LM&MA 399 30 0 31 May 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 264 14 0 06 Mar 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari FAtt MedIm 180 4 0 18 Feb 2021
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning A. Maurya 128 1 0 28 Oct 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 206 813 0 22 Jun 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 203 231 0 24 May 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 232 144 0 06 Feb 2020

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TorchXRayVision: A library of chest X-ray datasets and models

International Conference on Medical Imaging with Deep Learning (MIDL), 2021

31 October 2021

Papers citing "TorchXRayVision: A library of chest X-ray datasets and models"

44 / 94 papers shown

Title
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council Luyang Luo Xin Huang Minghao Wang Zhuoyue Wan Hao Chen 212 2 0 22 Jan 2024
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-trainingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Jiuming Qin Che Liu Sibo Cheng Wenhan Luo Rossella Arcucci VLM MedIm 138 7 0 02 Jan 2024
On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images Gauri Bhardwaj Yuvaraj Govindarajulu Sundaraparipurnan Narayanan Pavan Kulkarni Manojkumar Somabhai Parmar MedIm DiffM 120 3 0 12 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision Ravidu Suien Rammuni Silva Jordan J. Bird FAtt 184 2 0 10 Dec 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging ResearchEBioMedicine (EBioMedicine), 2023 Bardia Khosravi Frank Li Theo Dapamede Pouria Rouzrokh Cooper Gamble ... C. Wyles Andrew B. Sellergren S. Purkayastha Bradley J. Erickson J. Gichoya MedIm 248 38 0 15 Nov 2023
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings Tobias Weber Michael Ingrisch B. Bischl David Rügamer CML 230 1 0 02 Nov 2023
How Can We Tame the Long-Tail of Chest X-ray Datasets? Arsh Verma OOD 180 3 0 08 Sep 2023
Stability Guarantees for Feature Attributions with Multiplicative SmoothingNeural Information Processing Systems (NeurIPS), 2023 Anton Xue Rajeev Alur Eric Wong 305 12 0 12 Jul 2023
KiUT: Knowledge-injected U-Transformer for Radiology Report GenerationComputer Vision and Pattern Recognition (CVPR), 2023 Zhongzhen Huang Xiaofan Zhang Shaoting Zhang MedIm 230 90 0 20 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models Virginia Fernandez Pedro Sanchez W. H. Pinaya Grzegorz Jacenków Sotirios A. Tsaftaris Jorge Cardoso 144 21 0 02 Jun 2023
PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray ImagesInterspeech (Interspeech), 2023 Kubilay Can Demir Tobias Weise M. May Axel Schmid Andreas Maier Seung Hee Yang 112 1 0 25 May 2023
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationInternational Conference on Learning Representations (ICLR), 2023 Suhyeon Lee Won Jun Kim Jinho Chang Jong Chul Ye MedIm 507 70 0 19 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed OpportunityInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 383 72 0 14 May 2023
The Effect of Counterfactuals on Reading Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari MedIm 64 0 0 02 Apr 2023
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and InterpretabilityAAAI Conference on Artificial Intelligence (AAAI), 2023 Mischa Dombrowski Hadrien Reynaud Johanna P. Müller Matthew Baugh Bernhard Kainz MedIm 158 11 0 31 Mar 2023
Vision-Language Generative Model for View-Specific Chest X-ray GenerationACM Conference on Health, Inference, and Learning (CHIL), 2023 HyunGyung Lee Dayun Lee Wonjae Kim Jin-Hwa Kim Tackeun Kim Jihang Kim Leonard Sunwoo Edward Choi LM&MA MedIm 486 11 0 23 Feb 2023
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging Chaoyi Wu Xiaoman Zhang Yanfeng Wang Ya Zhang Weidi Xie MedIm 154 9 0 22 Feb 2023
Multimodal Explainability via Latent Shift applied to COVID-19 stratificationPattern Recognition (Pattern Recogn.), 2022 V. Guarrasi L. Tronchin Domenico Albano E. Faiella Deborah Fazzini D. Santucci Paolo Soda 241 31 0 28 Dec 2022
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 265 0 0 28 Nov 2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre J. Chambon Christian Blüthgen Jean-Benoit Delbrouck Rogier van der Sluijs M. Polacin Juan Manuel Zambrano Chaves Tanishq Mathew Abraham Shivanshu Purohit C. Langlotz Akshay S. Chaudhari LM&MA DiffM MedIm 204 118 0 23 Nov 2022
DeltaNet:Conditional Medical Report Generation for COVID-19 DiagnosisInternational Conference on Computational Linguistics (COLING), 2022 Xian Wu Shuxin Yang Zhaopeng Qiu Shen Ge Yangtian Yan Xingwang Wu Yefeng Zheng S. Kevin Zhou Li Xiao MedIm 210 24 0 12 Nov 2022
Does Medical Imaging learn different Convolution Filters? Paul Gavrikov J. Keuper VLM OOD 105 2 0 25 Oct 2022
Deep Model ReassemblyNeural Information Processing Systems (NeurIPS), 2022 Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 240 144 0 24 Oct 2022
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains Pierre J. Chambon Christian Blüthgen C. Langlotz Akshay S. Chaudhari DiffM MedIm LM&MA 154 133 0 09 Oct 2022
Medical Image Captioning via Generative Pretrained TransformersScientific Reports (Sci Rep), 2022 Alexander Selivanov Oleg Y. Rogov Daniil Chesakov Artem Shelmanov Irina Fedulova Dmitry V. Dylov MedIm 175 87 0 28 Sep 2022
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-RaysInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Gaurang Karwande Amarachi Mbakawe Joy T. Wu Leo Anthony Celi Mehdi Moradi Ismini Lourentzou 159 20 0 08 Aug 2022
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 292 15 0 21 Jul 2022
Suppressing Poisoning Attacks on Federated Learning for Medical ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Naif Alkhunaizi Dmitry Kamzolov Martin Takávc Karthik Nandakumar OOD 126 14 0 15 Jul 2022
Explaining Chest X-ray Pathologies in Natural LanguageInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Maxime Kayser Cornelius Emde Oana-Maria Camburu Guy Parsons B. Papież Thomas Lukasiewicz MedIm 140 32 0 09 Jul 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 169 0 0 27 Apr 2022
Pseudo Bias-Balanced Learning for Debiased Chest X-ray ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Luyang Luo Dunyuan Xu Hao Chen T. Wong Pheng-Ann Heng CML OOD 131 25 0 18 Mar 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 301 15 0 03 Mar 2022
Integrated multimodal artificial intelligence framework for healthcare applicationsnpj Digital Medicine (NDM), 2022 L. Soenksen Yu Ma C. Zeng L. Boussioux Kimberly Villalobos Carballo Liangyuan Na H. Wiberg Michael Lingzhi Li Ignacio Fuentes Dimitris Bertsimas 333 230 0 25 Feb 2022
MMLN: Leveraging Domain Knowledge for Multimodal DiagnosisInternational Symposium on Bioinformatics Research and Applications (ISBRA), 2022 Haodi Zhang Chenyu Xu Pei-hong Liang Ke Duan Haopan Ren Weibin Cheng Kaishun Wu 62 0 0 09 Feb 2022
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification I. Hamdi Muhammad Ridzuan Mohammad Yaqub LM&MA 269 0 0 26 Jan 2022
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge Shuxin Yang Xian Wu Shen Ge S.Kevin Zhou Li Xiao MedIm 204 175 0 30 Dec 2021
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models E. Tetteh J. Viviano Yoshua Bengio David M. Krueger Joseph Paul Cohen OOD 142 3 0 27 Dec 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest ImagesIEEE International Joint Conference on Neural Network (IJCNN), 2021 Mehdi Cherti J. Jitsev LM&MA 399 30 0 31 May 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 264 14 0 06 Mar 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari FAtt MedIm 180 4 0 18 Feb 2021
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning A. Maurya 128 1 0 28 Oct 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 206 813 0 22 Jun 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 203 231 0 24 May 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 232 144 0 06 Feb 2020

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