Fetching the paper…
Reading the bibliography…
Quantitative evaluation of echocardiography is essential for precise assessment of cardiac condition, monitoring disease progression, and guiding treatment decisions.
“ImageNet: A large-scale hierarchical image database”
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, K. Li and Li Fei-Fei · 2009
Earlier work this paper cites.
“The effect of chair massage on muscular discomfort in cardiac sonographers: a pilot study”
Deborah Engen, Dietlind Wahner-Roedler, Anita Nadolny, Colleen Persinger, Jae Oh, Peter Spittell, Laura Loehrer, Stephen Cha and Brent Bauer · 2010
Earlier work this paper cites.
“The Progression of Hypertensive Heart Disease”
Mark. Drazner · 2011
Earlier work this paper cites.
“Left ventricular hypertrophy reclassification and death: application of the Recommendation of the American Society of Echocardiography/European Association of Echocardiography.”
Andrea Barbieri, Francesca Bursi, Francesca Mantovani, Chiara Valenti, Michele Quaglia, Elena Berti, Massimiliano Marino and Maria Modena · 2012
Earlier work this paper cites.
“Deep Residual Learning for Image Recognition”
Kaiming He, X. Zhang, Shaoqing Ren and Jian Sun · 2015
Earlier work this paper cites.
“Comparison of Ventricular Septal Measurements in Hypertrophic Cardiomyopathy Patients Who Underwent Surgical Myectomy Using Multimodality Imaging and Implications for Diagnosis and Management.”
Dermot. Phelan, Brett. Sperry, Paaladinesh Thavendiranathan, Patrick Collier, Zoran. Popović, Harry. Lever, Nicholas. Smedira and Milind. Desai · 2017
Earlier work this paper cites.
“Rethinking Atrous Convolution for Semantic Image Segmentation”
Liang-Chieh Chen, George Papandreou, Florian Schroff and Hartwig Adam · 2017
Earlier work this paper cites.
“Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations”
Carole Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin and M. Cardoso · 2017
Earlier work this paper cites.
“Focal Loss for Dense Object Detection”
Tsung-Yi Lin, Priya Goyal, Ross. Girshick, Kaiming He and Piotr Dollár · 2017
Earlier work this paper cites.
“Fast and accurate view classification of echocardiograms using deep learning”
Ali Madani, Ramy. Arnaout, Mohammad. Mofrad and Rima Arnaout · 2018
Earlier work this paper cites.
“Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease”
Ali Madani, Jia Ong, Anshul Tibrewal and Mohammad. Mofrad · 2018
Earlier work this paper cites.
“Fully Automated Echocardiogram Interpretation in Clinical Practice”
Jeffrey Zhang, Sravani Gajjala, Pulkit Agrawal, Geoffrey. Tison, Laura. Hallock, Lauren Beussink-Nelson, Matsøjbjerg Lassen, Eugene Fan, Mandar. Aras, ChaRandle Jordan, Kirsten. Fleischmann, Michelle. Melisko, Atif Qasim, Sanjiv. Shah, Ruzena Bajcsy and Rahul. Deo · 2018
Earlier work this paper cites.
“Automated quantification in echocardiography”
Mark Nolan and Paaladinesh Thavendiranathan · 2019
Earlier work this paper cites.
“Guidelines for Performing a Comprehensive Transthoracic Echocardiographic Examination in Adults: Recommendations from the American Society of Echocardiography.”
Carol. Mitchell, Peter. Rahko, Lori. Blauwet, Barry Canaday, Joshua Finstuen, Michael. Foster, Kenneth. Horton, Kofo. Ogunyankin, Richard Palma and Eric. Velazquez · 2019
Earlier work this paper cites.
“Parameter-Efficient Transfer Learning for NLP”
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan and Sylvain Gelly · 2019
Earlier work this paper cites.
“Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography”
Sarah Leclerc, Erik Smistad, João Pedrosa, Andreas Østvik, Frédéric Cervenansky, Florian Espinosa, Torvald Espeland, Erik Berg, Pierre-Marc Jodoin, Thomas Grenier, Carole Lartizien, Jan D’hooge, Lasse Løvstakken and Olivier Bernard · 2019
Earlier work this paper cites.
“Spreading vectors for similarity search”
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid and Hervé Jégou · 2019
Earlier work this paper cites.
“Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks.”
Andreas Østvik, Erik Smistad, Svein Aase, Bjørn Haugen and Lasse Løvstakken · 2019
Earlier work this paper cites.
“A simple framework for contrastive learning of visual representations”
Ting Chen, Simon Kornblith, Mohammad Norouzi and Geoffrey Hinton · 2020
Earlier work this paper cites.
“Unsupervised learning of visual features by contrasting cluster assignments”
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski and Armand Joulin · 2020
Earlier work this paper cites.
“An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale”
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold and Sylvain Gelly · 2020
Cited alongside, same era.
“Video-based AI for beat-to-beat assessment of cardiac function”
David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph. Ebinger, C. Langlotz, Paul. Heidenreich, Robert. Harrington, David. Liang, Euan. Ashley and James. Zou · 2020
Cited alongside, same era.
“Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance.”
João. Augusto, Rhodri. Davies, Anish. Bhuva, Kristopher. Knott, Andreas Seraphim, Mashael Alfarih, Clement Lau, Rebecca. Hughes, Luís Lopes, Hunain Shiwani, Thomas. Treibel, Bernhard. Gerber, Christian Hamilton-Craig, Ntobeko.. Ntusi, Gianluca Pontone, Milind. Desai, John Greenwood, Peter. Swoboda, Gabriella Captur, João. Cavalcante, Chiara Bucciarelli-Ducci, Steffen Petersen, Erik. Schelbert, Charlotte. Manisty and James. Moon · 2020
Cited alongside, same era.
“Emerging properties in self-supervised vision transformers”
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski and Armand Joulin · 2021
Cited alongside, same era.
Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan and Li Yu · 2023
Later among the works it cites.
“SonoSAM-Segment Anything on Ultrasound Images”
Hariharan Ravishankar, Rohan Patil, Vikram Melapudi and Pavan Annangi · 2023
Later among the works it cites.
“Segment anything”
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander Berg and Wan-Yen Lo · 2023
Later among the works it cites.
“Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients.”
Charitha. Reddy, Leo Lopez, David Ouyang, James. Zou and Bryan He · 2023
Later among the works it cites.
“Large language models encode clinical knowledge”
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Mahdavi, Jason Wei, Hyung Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis and Stephen Pfohl · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Automated Left Ventricular Dimension Assessment Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative”
James Howard, Catherine. Stowell, Graham. Cole, Kajaluxy Ananthan, Camelia. Demetrescu, Keith Pearce, Ronak Rajani, Joban. Sehmi, Kavitha Vimalesvaran, Gajen Kanaganayagam, Eleanor McPhail, Arjun. Ghosh, John Chambers, Amar. Singh, Massoud Zolgharni, Bushra Rana, Darrel. Francis and Matthew. Shun-shin · 2021
Cited alongside, same era.
“High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning”
Grant Duffy, Paul Cheng, Neal Yuan, Bryan He, Alan. Kwan, Matthew. Shun-shin, Kevin. Alexander, Joseph. Ebinger, Matthew. Lungren, Florian Rader, David. Liang, Ingela Schnittger, Euan. Ashley, James. Zou, Jignesh. Patel, Ronald. Witteles, Susan Cheng and David Ouyang · 2021
Cited alongside, same era.
“Learning transferable visual models from natural language supervision”
Alec Radford, Jong Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin and Jack Clark · 2021
Cited alongside, same era.
“Masked autoencoders are scalable vision learners”
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár and Ross Girshick · 2022
Cited alongside, same era.
“Contrastive self-supervised learning from 100 million medical images with optional supervision”
Florin Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Dominik Neumann, Pragneshkumar Patel, Reddappagari Vishwanath, James Balter, Yue Cao and Sasa Grbic · 2022
Cited alongside, same era.
“Unetr: Transformers for 3d medical image segmentation”
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger Roth and Daguang Xu · 2022
Cited alongside, same era.
“Vision Transformer Adapter for Dense Predictions”
Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai and Yu Qiao · 2022
Cited alongside, same era.
“Adaptformer: Adapting vision transformers for scalable visual recognition”
Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang and Ping Luo · 2022
Cited alongside, same era.
“Deep learning for transesophageal echocardiography view classification”
Kirsten. Steffner, Matthew Christensen, George Gill, Michael Bowdish, Justin Rhee, Abirami Kumaresan, Bryan He, James Zou and David Ouyang · 2023
Later among the works it cites.
“2023 World Heart Federation guidelines for the echocardiographic diagnosis of rheumatic heart disease”
Joselyn Rwebembera, James Marangou, Julius Mwita, Ana Mocumbi, Cleonice Mota, Emmy Okello, Bruno Nascimento, Lene Thorup, Andrea Beaton and Joseph Kado · 2024
Closest in time.
“Prevalence, characteristics and clinical impact of work-related musculoskeletal pain in echocardiography”
Eunice Onwordi, Alistair Harris, Charlotte Atkinson, Cathy West, Keith Pearce, Jane Hancock, Camelia Demetrescu, Dhrubo Rakhit, Benoy Shah and Rajdeep Khattar · 2024
Closest in time.
“Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions”
Yuting He, Fuxiang Huang, Xinrui Jiang, Yuxiang Nie, Minghao Wang, Jiguang Wang and Hao Chen · 2024
Closest in time.
“Towards a general-purpose foundation model for computational pathology”
Richard Chen, Tong Ding, Ming Lu, Drew Williamson, Guillaume Jaume, Andrew Song, Bowen Chen, Andrew Zhang, Daniel Shao and Muhammad Shaban · 2024
Closest in time.
“Vision–language foundation model for echocardiogram interpretation”
Matthew Christensen, Milos Vukadinovic, Neal Yuan and David Ouyang · 2024
Closest in time.
Milos Vukadinovic, Xiu Tang, Neal Yuan, Paul Cheng, Debiao Li, Susan Cheng, Bryan He and David Ouyang · 2024
Closest in time.
“A whole-slide foundation model for digital pathology from real-world data”
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González and Yu Gu · 2024
Closest in time.
“General Purpose Image Encoder DINOv2 for Medical Image Registration”
Xinrui Song, Xuanang Xu and Pingkun Yan · 2024
Closest in time.
“Segment anything in medical images”
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You and Bo Wang · 2024
Closest in time.
“A visual-language foundation model for computational pathology”
Ming Lu, Bowen Chen, Drew Williamson, Richard Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Long Le and Georg Gerber · 2024
Closest in time.
“FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models”
Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S Zhou and Xiaoxiao Li · 2024
Closest in time.
“SAM 2: Segment Anything in Images and Videos”
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár and Christoph Feichtenhofer · 2024
Closest in time.
“A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiography”
Jennifer Alvén, Eva Hagberg, David Hagerman, Richard Petersen and Ola Hjelmgren · 2024
Closest in time.