Search Results - "Chauhan, Geeticka"

Explainable deep learning in healthcare: A methodological survey from an attribution view by Jin, Di, Sergeeva, Elena, Weng, Wei‐Hung, Chauhan, Geeticka, Szolovits, Peter

“…The increasing availability of large collections of electronic health record (EHR) data and unprecedented technical advances in deep learning (DL) have sparked…”
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Training Large ASR Encoders with Differential Privacy by Chauhan, Geeticka, Chien, Steve, Thakkar, Om, Thakurta, Abhradeep, Narayanan, Arun

“…Self-supervised learning (SSL) methods for large speech models have proven to be highly effective at ASR. With the interest in public deployment of large…”
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Bidirectional Captioning for Clinically Accurate and Interpretable Models by Quigley, Keegan, Cha, Miriam, Barua, Josh, Chauhan, Geeticka, Berkowitz, Seth, Horng, Steven, Golland, Polina

“…Vision-language pretraining has been shown to produce high-quality visual encoders which transfer efficiently to downstream computer vision tasks. While…”
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How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact by Jin, Zhijing, Chauhan, Geeticka, Tse, Brian, Sachan, Mrinmaya, Mihalcea, Rada

“…Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world…”
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RadTex: Learning Efficient Radiograph Representations from Text Reports by Quigley, Keegan, Cha, Miriam, Liao, Ruizhi, Chauhan, Geeticka, Horng, Steven, Berkowitz, Seth, Golland, Polina

“…Automated analysis of chest radiography using deep learning has tremendous potential to enhance the clinical diagnosis of diseases in patients. However, deep…”
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Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View by Jin, Di, Sergeeva, Elena, Weng, Wei-Hung, Chauhan, Geeticka, Szolovits, Peter

“…The increasing availability of large collections of electronic health record (EHR) data and unprecedented technical advances in deep learning (DL) have sparked…”
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Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment by Chauhan, Geeticka, Liao, Ruizhi, Wells, William, Andreas, Jacob, Wang, Xin, Berkowitz, Seth, Horng, Steven, Szolovits, Peter, Golland, Polina

“…We propose and demonstrate a novel machine learning algorithm that assesses pulmonary edema severity from chest radiographs. While large publicly available…”
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MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III by Wang, Shirly, McDermott, Matthew B. A, Chauhan, Geeticka, Hughes, Michael C, Naumann, Tristan, Ghassemi, Marzyeh

“…Robust machine learning relies on access to data that can be used with standardized frameworks in important tasks and the ability to develop models whose…”
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REflex: Flexible Framework for Relation Extraction in Multiple Domains by Chauhan, Geeticka, McDermott, Matthew B. A, Szolovits, Peter

“…Systematic comparison of methods for relation extraction (RE) is difficult because many experiments in the field are not described precisely enough to be…”
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Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation by Nestor, Bret, McDermott, Matthew B. A, Chauhan, Geeticka, Naumann, Tristan, Hughes, Michael C, Goldenberg, Anna, Ghassemi, Marzyeh

“…Machine learning for healthcare often trains models on de-identified datasets with randomly-shifted calendar dates, ignoring the fact that data were generated…”
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