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11/14/2022
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts
Histopathology images are gigapixel-sized and include features and infor...
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05/29/2020
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Pulmonary Embolism (PE) is a life-threatening disorder associated with h...
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05/03/2020
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification
Automated diagnostic assistants in healthcare necessitate accurate AI mo...
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04/27/2020
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models
The wide-spread adoption of representation learning technologies in clin...
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10/30/2019
Learn-By-Calibrating: Using Calibration as a Training Objective
Calibration error is commonly adopted for evaluating the quality of unce...
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10/05/2019
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images
Pulmonary embolisms (PE) are known to be one of the leading causes for c...
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05/28/2019
Leveraging Medical Visual Question Answering with Supporting Facts
In this working notes paper, we describe IBM Research AI (Almaden) team'...
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01/05/2019
Generalization Studies of Neural Network Models for Cardiac Disease Detection Using Limited Channel ECG
Acceleration of machine learning research in healthcare is challenged by...
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09/20/2018
Can Deep Clinical Models Handle Real-World Domain Shifts?
The hypothesis that computational models can be reliable enough to be ad...
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02/18/2018
A Generative Modeling Approach to Limited Channel ECG Classification
Processing temporal sequences is central to a variety of applications in...
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11/10/2017