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Found 136 publication records. Showing 136 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell |
Interpretable Survival Analysis for Heart Failure Risk Prediction.  |
ML4H@NeurIPS  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Onur Poyraz, Pekka Marttinen |
Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee 0018, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen |
Machine Learning for Health (ML4H) 2023. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ethan Harvey, Wansu Chen, David M. Kent, Michael C. Hughes |
A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly |
Towards Reliable Dermatology Evaluation Benchmarks. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ivana Malenica, Yongyi Guo, Kyra Gan, Stefan Konigorski |
Anytime-valid inference in N-of-1 trials. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dominik Meier, Ipek Ensari, Stefan Konigorski |
Designing and evaluating an online reinforcement learning agent for physical exercise recommendations in N-of-1 trials. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang |
TransEHR: Self-Supervised Transformer for Clinical Time Series Data. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ryan King, Tianbao Yang, Bobak J. Mortazavi |
Multimodal Pretraining of Medical Time Series and Notes. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Nivetha Jayakumar, Jiarui Xing, Tonmoy Hossain, Frederick H. Epstein, Kenneth C. Bilchick, Miaomiao Zhang |
Activation From Sparse 2D Cardiac MRIs. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Abhishek Singh, Venkatapathy Subramanian, Ayush Maheshwari, Pradeep Narayan, Devi Prasad Shetty, Ganesh Ramakrishnan |
Eigen: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Han Yu 0008, Peikun Guo, Akane Sano |
Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Prajwal Kailas, Max Homilius, Rahul C. Deo, Calum A. MacRae |
NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Osama Khan, Muhammad Muneeb Afzal, Shujaat Mirza, Yi Fang |
How Fair are Medical Imaging Foundation Models? |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xueqiao Peng, Jiaqi Xu, Xi Chen, Dinh Song An Nguyen, Andrew Perrault |
Using Reinforcement Learning for Multi-Objective Cluster-Level Optimization of Non-Pharmaceutical Interventions for Infectious Disease. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dang Nguyen, Chacha Chen, He He, Chenhao Tan |
Pragmatic Radiology Report Generation. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Margherita Rosnati, Mélanie Roschewitz, Ben Glocker |
Robust semi-supervised segmentation with timestep ensembling diffusion models. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ke Alexander Wang, Emily B. Fox |
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Reza Hosseinzadeh Taher, Masaki Ikuta, Ravi Soni |
Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiaohui Zhang 0012, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni |
Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun 0004, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner |
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jennifer Yu, Tina Behrouzi, Kopal Garg, Anna Goldenberg, Sana Tonekaboni |
Dynamic Interpretable Change Point Detection for Physiological Data Analysis. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer |
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, Amir Feder |
LLMs Accelerate Annotation for Medical Information Extraction. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Arina Odnoblyudova, Caglar Hizli, St John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen |
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh (eds.) |
Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vivek Shankar, Xiaoli Yang, Vrishab Krishna, Brent Tan, Oscar Silva, Rebecca Rojansky, Andrew Y. Ng, Fabiola Valvert, Edward Briercheck, David Weinstock, Yasodha Natkunam, Sebastian Fernandez-Pol, Pranav Rajpurkar |
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bingnan Li, Zhitong Gao, Xuming He 0001 |
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aishwarya Mandyam, Andrew Jones, Jiayu Yao, Krzysztof Laudanski, Barbara E. Engelhardt |
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen |
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch |
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Manuel Burger, Gunnar Rätsch, Rita Kuznetsova |
Multi-modal Graph Learning over UMLS Knowledge Graphs. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sameer Tajdin Khanna, Daniel Michael, Marinka Zitnik, Pranav Rajpurkar |
Learning Generalized Medical Image Representations Through Image-Graph Contrastive Pretraining. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yifei Ren, Jian Lou 0001, Li Xiong 0001, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani |
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Behrouz, Farnoosh Hashemi |
Learning Temporal Higher-order Patterns to Detect Anomalous Brain Activity. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao |
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Muneeb Afzal, Muhammad Osama Khan, Shujaat Mirza |
Towards Equitable Kidney Tumor Segmentation: Bias Evaluation and Mitigation. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Milos Vukadinovic, Alan C. Kwan, Debiao Li, David Ouyang |
GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung |
Deep Multimodal Fusion for Surgical Feedback Classification. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar |
Med-Flamingo: a Multimodal Medical Few-shot Learner. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter |
Representing visual classification as a linear combination of words. |
ML4H@NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker |
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shu Hu, George H. Chen |
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Danliang Ho, Mehul Motani |
Machine and Deep Learning Methods for Predicting Immune Checkpoint Blockade Response. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung |
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Daniel Lopez Martinez, Alex Yakubovich, Martin Seneviratne, Ádám D. Lelkes, Akshit Tyagi, Jonas Kemp, Ethan Steinberg, N. Lance Downing, Ron C. Li, Keith E. Morse, Nigam H. Shah, Ming-Jun Chen |
Instability in clinical risk stratification models using deep learning. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Haiyi Mao, Hongfu Liu 0001, Jason Xiaotian Dou, Panayiotis V. Benos |
Towards Cross-Modal Causal Structure and Representation Learning. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Woojung Kim, Paul A. Jenkins, Christopher Yau |
Feature Allocation Approach for Multimorbidity Trajectory Modelling. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, Ingrid-Judith Garberis, Stefan Michiels, Paul-Henry Cournède |
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Iva Bojic, Qi Chwen Ong, Megh Thakkar, Esha Kamran, Irving Yu Le Shua, Jaime Rei Ern Pang, Jessica Chen, Vaaruni Nayak, Shafiq R. Joty, Josip Car |
SleepQA: A Health Coaching Dataset on Sleep for Extractive Question Answering. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti |
An Extensive Data Processing Pipeline for MIMIC-IV. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan |
OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Charles Gadd, Krishnarajah Nirantharakumar, Christopher Yau |
mmVAE: multimorbidity clustering using Relaxed Bernoulli β-Variational Autoencoders. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jie Wang, Ronald Moore, Yao Xie 0002, Rishikesan Kamaleswaran |
Improving Sepsis Prediction Model Generalization With Optimal Transport. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vignav Ramesh, Nathan Andrew Chi, Pranav Rajpurkar |
Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Felix Steinbauer, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Martin J. Menten, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze |
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jay Jojo Cheng, Jared D. Huling, Guanhua Chen |
Meta-analysis of individualized treatment rules via sign-coherency. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vincent Jeanselme, Maria De-Arteaga, Zhe Zhang, Jessica K. Barrett, Brian D. M. Tom |
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
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| 1 | Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi |
Machine Learning for Health (ML4H) 2022. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Michael S. Yao, Michael S. Hansen |
A Path Towards Clinical Adaptation of Accelerated MRI. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Peniel N. Argaw, Elizabeth Healey, Isaac S. Kohane |
Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tao Tu, Eric Loreaux, Emma Chesley, Ádám D. Lelkes, Paul Gamble, Mathias Bellaiche, Martin Seneviratne, Ming-Jun Chen |
Automated LOINC Standardization Using Pre-trained Large Language Models. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Joel Stremmel, Brian L. Hill, Jeffrey Hertzberg, Jaime Murillo, Llewelyn Allotey, Eran Halperin |
Extend and Explain: Interpreting Very Long Language Models. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy (eds.) |
Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Dániel Unyi, Bálint Gyires-Tóth |
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ran Xu, Yue Yu, Chao Zhang 0014, Mohammed K. Ali, Joyce C. Ho, Carl Yang 0001 |
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack |
Differentiable programming for functional connectomics. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhuohong He, Ali Mottaghi, Aidean Sharghi, Muhammad Abdullah Jamal, Omid Mohareri |
An Empirical Study on Activity Recognition in Long Surgical Videos. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti |
Predicting attrition patterns from pediatric weight management programs. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Mihir Kulkarni, Satvik Golechha, Rishi Raj, Jithin K. Sreedharan, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Sanjay Mattoo, Rajendra Joshi, Kirankumar Rade, Alpan Raval |
Predicting Treatment Adherence of Tuberculosis Patients at Scale. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vasiliki Tassopoulou, Fanyang Yu, Christos Davatzikos |
Deep Kernel Learning with Temporal Gaussian Processes for Clinical Variable Prediction in Alzheimer's Disease. |
ML4H@NeurIPS |
2022 |
DBLP BibTeX RDF |
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| 1 | Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan |
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Ilya Valmianski, Nave Frost, Navdeep Sood, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Ian M. Finn, Daniel S. Zisook |
SmartTriage: A system for personalized patient data capture, documentation generation, and decision support. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar |
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Rui Li, Stephanie M. Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li 0027, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman |
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Danliang Ho, Iain Bee Huat Tan, Mehul Motani |
Prognosticating Colorectal Cancer Recurrence using an Interpretable Deep Multi-view Network. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Mark Endo, Rayan Krishnan, Viswesh Krishna, Andrew Y. Ng, Pranav Rajpurkar |
Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn |
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah |
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 1 | Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel |
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer |
Machine Learning for Health (ML4H) 2021. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Seongsu Bae, Daeyoung Kim, Jiho Kim, Edward Choi |
Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer (eds.) |
Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Peiqi Wang, Ruizhi Liao 0001, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland |
Image Classification with Consistent Supporting Evidence. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan |
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 1 | Oliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen |
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Rubin, Ramon Erkamp, Ragha Srinivasa Naidu, Anumod Odungatta Thodiyil, Alvin Chen |
Attention Distillation for Detection Transformers: Application to Real-Time Video Object Detection in Ultrasound. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding 0001 |
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 1 | Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman |
End-to-End Sequential Sampling and Reconstruction for MRI. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo |
Early Exit Ensembles for Uncertainty Quantification. |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Tuan Truong, Sadegh Mohammadi 0003, Matthias Lenga |
How Transferable are Self-supervised Features in Medical Image Classification Tasks? |
ML4H@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland |
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Sam Nguyen, Brenda Ng, Alan David Kaplan, Priyadip Ray |
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Taylor W. Killian, Haoran Zhang 0003, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi |
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Wangzhi Dai, Collin M. Stultz |
Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Du Nguyen Duong, Steven Q. H. Truong, Andrew Y. Ng, Matthew P. Lungren |
CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | David Josephs, Carson Drake, Andy Heroy, John Santerre |
sEMG Gesture Recognition with a Simple Model of Attention. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla |
Neural Temporal Point Processes For Modelling Electronic Health Records. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Karin Stacke, Claes Lundström, Gabriel Eilertsen |
Evaluation of Contrastive Predictive Coding for Histopathology Applications. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler |
A {B. |
ML4H@NeurIPS |
2020 |
DBLP BibTeX RDF |
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