ML Anthology

MLHC 2022

38 papers

A Multi Instance Learning Approach for Critical View of Safety Detection in Laparoscopic Cholecystectomy Yariv Colbeci, Maya Zohar, Daniel Neimark, Dotan Asselmann, Omri Bar
PDF
ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images Josiah Aklilu, Serena Yeung
PDF
An Hybrid CNN-Transformer Model Based on Multi-Feature Extraction and Attention Fusion Mechanism for Cerebral Emboli Classification Yamil Vindas, Blaise Kevin Guepie, Marilys Almar, Emmanuel Roux, Philippe Delachartre
PDF
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
PDF
AudiFace: Multimodal Deep Learning for Depression Screening Ricardo Flores, Ml Tlachac, Ermal Toto, Elke Rundensteiner
PDF
Auton-Survival: An Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data Chirag Nagpal, Willa Potosnak, Artur Dubrawski
PDF
Classifying Unstructured Clinical Notes via Automatic Weak Supervision Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
PDF
Contrastive Learning of Medical Visual Representations from Paired Images and Text Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz
PDF
Debiasing Deep Chest X-Ray Classifiers Using Intra- and Post-Processing Methods Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
PDF
Deep Cascade Learning for Optimal Medical Image Feature Representation Junwen Wang, Xin Du, Katayoun Farrahi, Mahesan Niranjan
PDF
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi
PDF
Development and Validation of ML-DQA – A Machine Learning Data Quality Assurance Framework for Healthcare Mark Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu
PDF
Diagnosing Epileptogenesis with Deep Anomaly Detection Amr Farahat, Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
PDF
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning Trenton Chang, Michael W. Sjoding, Jenna Wiens
PDF
EHR Safari: Data Is Contextual William Boag, Mercy Oladipo, Peter Szolovits
PDF
EMIXER: End-to-End Multimodal X-Ray Generation via Self-Supervision Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun
PDF
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis Shigehiko Schamoni, Michael Hagmann, Stefan Riezler
PDF
Error Amplification When Updating Deployed Machine Learning Models George Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg
PDF
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection Christopher M Trombley, Mehmet Akif Gulum, Merve Ozen, Enes Esen, Melih Aksamoglu, Mehmed Kantardzic
PDF
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti
PDF
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
PDF
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding Weiming Ren, Ruijing Zeng, Tongzi Wu, Tianshu Zhu, Rahul G. Krishnan
PDF
How Fair Is Your Graph? Exploring Fairness Concerns in Neuroimaging Studies Fernanda Ribeiro, Valentina Shumovskaia, Thomas Davies, Ira Ktena
PDF
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations Asem Alaa, Erik Mayer, Mauricio Barahona
PDF
KCRL: A Prior Knowledge Based Causal Discovery Framework with Reinforcement Learning Uzma Hasan, Md Osman Gani
PDF
Latent Temporal Flows for Multivariate Analysis of Wearables Data Magda Amiridi, Gregory Darnell, Sean Jewell
PDF
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blumlein, Joel Persson, Stefan Feuerriegel
PDF
Learning Optimal Summaries of Clinical Time-Series with Concept Bottleneck Models Carissa Wu, Sonali Parbhoo, Marton Havasi, Finale Doshi-Velez
PDF
MedFuse: Multi-Modal Fusion with Clinical Time-Series Data and Chest X-Ray Images Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
PDF
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity Khaled Saab, Sarah Hooper, Mayee Chen, Michael Zhang, Daniel Rubin, Christopher Re
PDF
Reinforcement Learning for Sepsis Treatment: A Continuous Action Space Solution Yong Huang, Rui Cao, Amir Rahmani
PDF
Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding Tanveer Syeda-Mahmood, Luyao Shi
PDF
Survival Mixture Density Networks Xintian Han, Mark Goldstein, Rajesh Ranganath
PDF
Survival Seq2Seq: A Survival Model Based on Sequence to Sequence Architecture Ebrahim Pourjafari, Navid Ziaei, Mohammad R. Rezaei, Amir Sameizadeh, Mohammad Shafiee, Mohammad Alavinia, Mansour Abolghasemian, Nick Sajadi
PDF
SurvLatent ODE : A Neural ODE Based Time-to-Event Model with Competing Risks for Longitudinal Data Improves Cancer-Associated Venous Thromboembolism (VTE) Prediction Intae Moon, Stefan Groha, Alexander Gusev
PDF
Unified Auto Clinical Scoring (Uni-ACS) with Interpretable ML Models Anthony Li, Ming Lun Ong, Chien Wei Oei, Weixiang Lian, Hwee Pin Phua, Lin Htun Htet, Wei Yen Lim, Mehul Motani
PDF
Weakly Supervised Deep Instance Nuclei Detection Using Points Annotation in 3D Cardiovascular Immunofluorescent Images Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
PDF
Why Predicting Risk Can’t Identify ‘risk Factors’: Empirical Assessment of Model Stability in Machine Learning Across Observational Health Databases Aniek F. Markus, Peter R. Rijnbeek, Jenna M. Reps
PDF