2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Massachusetts AmherstUS12 papers
- University of Massachusetts LowellUS6 papers
- Amherst CollegeUS4 papers
- Duke UniversityUS4 papers
- Allen Institute for Cell ScienceUS3 papers
- Bedford VA Research CorporationUS3 papers
- Broad InstituteUS3 papers
- Carl Zeiss (Germany)DE3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Cornell UniversityUS3 papers
- Delft University of TechnologyNL3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
34 papers
AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking
Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal +6
Journaling plays a crucial role in managing chronic conditions by allowing patients to document symptoms and medication intake, providing essential data for long-term care. While v…
ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration
Ziyuan Huang, Vishaldeep Kaur Sekhon, Roozbeh Sadeghian +5
Alzheimer's Disease Analysis Model (ADAM) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome pr…
A Method for Imaging the Ischemic Penumbra with MRI using IVIM
Mira M. Liu, Niloufar Saadat, Steven P. Roth +5
This work examines the hypothesis that intravoxel incoherent motion MRI (IVIM) can quantify local cerebral blood flow (qCBF), infarct volume, and define the ischemic penumbra for d…
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science
Betina Idnay, Zihan Xu, William G. Adams +54
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…
Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings
Dong Han, Jihye Moon, Luís Roberto Mercado Díaz +6
Most deep learning models of multiclass arrhythmia classification are tested on fingertip photoplethysmographic (PPG) data, which has higher signal-to-noise ratios compared to smar…
Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data
Nikki Bialy, Frank Alber, Brenda Andrews +44
Alongside molecular insights into genes and proteins, biological imaging holds great promise for deepening scientific understanding of complex cellular systems and advancing predic…
Asymmetric discrete random walk and drift-diffusion with unequal jump times, lengths, and probabilities
Guoxing Lin, Shaokun Zheng
Random walk has wide applications in many fields, such as machine learning, biology, physics, and chemistry. Random walk can be discrete or continuous in time and space. Asymmetric…
Community-developed checklists for publishing images and image analysis
Christopher Schmied, Michael Nelson, Sergiy Avilov +51
Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. H…
Recent Trend of Nanotechnology Applications to Improve Bio-accessibility of Lycopene by Nanocarrier: A Review
Mohammad Anwar Ul Alam, Mhamuda Khatun, Mohammad Arif Ul Alam
Lycopene, rich in red, yellow, or orange-colored fruits and vegetables, is the most potent antioxidant among the other carotenoids available in human blood plasma. It is evident th…
Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans
Avijit Mitra, Richeek Pradhan, Rachel D Melamed +8
Importance: Social determinants of health (SDOH) are known to be associated with increased risk of suicidal behaviors, but few studies utilized SDOH from unstructured electronic he…
Automated Identification of Eviction Status from Electronic Health Record Notes
Zonghai Yao, Jack Tsai, Weisong Liu +4
Objective: Evictions are important social and behavioral determinants of health. Evictions are associated with a cascade of negative events that can lead to unemployment, housing i…
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing
Zonghai Yao, Yi Cao, Zhichao Yang +1
Pretrained language models (PLMs) have motivated research on what kinds of knowledge these models learn. Fill-in-the-blanks problem (e.g., cloze tests) is a natural approach for ga…
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context
Zonghai Yao, Yi Cao, Zhichao Yang +2
Language Models (LMs) have performed well on biomedical natural language processing applications. In this study, we conducted some experiments to use prompt methods to extract know…
CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography
Ruisheng Su, P. Matthijs van der Sluijs, Yuan Chen +7
Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high…
Predictive landscapes hidden beneath biological cellular automata
Lars Koopmans, Hyun Youk
To celebrate Hans Frauenfelder's achievements, we examine energy(-like) "landscapes" for complex living systems. Energy landscapes summarize all possible dynamics of some physical…
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
Jane X. Wang, Michael King, Nicolas Porcel +14
There has been rapidly growing interest in meta-learning as a method for increasing the flexibility and sample efficiency of reinforcement learning. One problem in this area of res…
QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy
Glyn Nelson, Ulrike Boehm, Steve Bagley +97
In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scie…
Tele-operative Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients
Ryosuke Tsumura, John W. Hardin, Keshav Bimbraw +6
Novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a pandemic of epic proportions and a global response to prepare health systems worldwide is of utmost…
Individual-level Modeling of COVID-19 Epidemic Risk
Andres Colubri, Kailash Yadav, Abhishek Jha +1
The ongoing COVID-19 pandemic calls for a multi-faceted public health response comprising complementary interventions to control the spread of the disease while vaccines and therap…
A Statistical Framework for Optimizing and Evaluating MRI of T1 and T2 Relaxometry Approaches
Yang Liu, John R. Buck, Shaokuan Zheng
This paper proposes a statistical framework to optimize and evaluate the MR parameter and mapping capabilities for quantitative MRI relaxometry approaches. This analysi…
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
Rumeng Li, Xun Wang, Hong Yu
Manipulating training data leads to robust neural models for MT.
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
John P. Lalor, Hao Wu, Hong Yu
Incorporating Item Response Theory (IRT) into NLP tasks can provide valuable information about model performance and behavior. Traditionally, IRT models are learned using human res…
Sentence Simplification with Memory-Augmented Neural Networks
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai +1
Sentence simplification aims to simplify the content and structure of complex sentences, and thus make them easier to interpret for human readers, and easier to process for downstr…
Learning to Extract Coherent Summary via Deep Reinforcement Learning
Yuxiang Wu, Baotian Hu
Coherence plays a critical role in producing a high-quality summary from a document. In recent years, neural extractive summarization is becoming increasingly attractive. However,…