Search Results - "O'Neil, Alison Q."

Learning disentangled representations in the imaging domain by Liu, Xiao, Sanchez, Pedro, Thermos, Spyridon, O’Neil, Alison Q., Tsaftaris, Sotirios A.

Get full text

Causal machine learning for healthcare and precision medicine by Sanchez, Pedro, Voisey, Jeremy P, Xia, Tian, Watson, Hannah I, O'Neil, Alison Q, Tsaftaris, Sotirios A

“…Causal machine learning (CML) has experienced increasing popularity in healthcare. Beyond the inherent capabilities of adding domain knowledge into learning…”
Get full text

Compositionally Equivariant Representation Learning by Liu, Xiao, Sanchez, Pedro, Thermos, Spyridon, O'Neil, Alison Q., Tsaftaris, Sotirios A.

“…Deep learning models often need sufficient supervision (i.e., labelled data) in order to be trained effectively. By contrast, humans can swiftly learn to…”
Get full text

The role of noise in denoising models for anomaly detection in medical images by Kascenas, Antanas, Sanchez, Pedro, Schrempf, Patrick, Wang, Chaoyang, Clackett, William, Mikhael, Shadia S., Voisey, Jeremy P., Goatman, Keith, Weir, Alexander, Pugeault, Nicolas, Tsaftaris, Sotirios A., O’Neil, Alison Q.

“…Pathological brain lesions exhibit diverse appearance in brain images, in terms of intensity, texture, shape, size, and location. Comprehensive sets of data…”
Get full text

Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters by Cutforth, Murray, Watson, Hannah, Brown, Cameron, Wang, Chaoyang, Thomson, Stuart, Fell, Dickon, Dilys, Vismantas, Scrimgeour, Morag, Schrempf, Patrick, Lesh, James, Muir, Keith, Weir, Alexander, O'Neil, Alison Q

“…Thrombolysis treatment for acute ischaemic stroke can lead to better outcomes if administered early enough. However, contraindications exist which put the…”
Get full text

Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports by Schrempf, Patrick, Watson, Hannah, Park, Eunsoo, Pajak, Maciej, MacKinnon, Hamish, Muir, Keith W., Harris-Birtill, David, O’Neil, Alison Q.

“…Training medical image analysis models traditionally requires large amounts of expertly annotated imaging data which is time-consuming and expensive to obtain…”
Get full text

Assessing Machine Learning for Diagnostic Classification of Hypertension Types Identified by Ambulatory Blood Pressure Monitoring by Tran, Tran Quoc Bao, Lip, Stefanie, du Toit, Clea, Kalaria, Tejas Kumar, Bhaskar, Ravi K., O’Neil, Alison Q., Graff, Beata, Hoffmann, Michał, Szyndler, Anna, Polonis, Katarzyna, Wolf, Jacek, Reddy, Sandeep, Narkiewicz, Krzysztof, Dasgupta, Indranil, Dominiczak, Anna F., Visweswaran, Shyam, McCallum, Linsay, Padmanabhan, Sandosh

“…Inaccurate blood pressure (BP) classification results in inappropriate treatment. We tested whether machine learning (ML), using routine clinical data, can…”
Get full text

Evaluating the Impact on Clinical Task Efficiency of a Natural Language Processing Algorithm for Searching Medical Documents: Prospective Crossover Study by Park, Eunsoo H, Watson, Hannah I, Mehendale, Felicity V, O'Neil, Alison Q

“…Background Information retrieval (IR) from the free text within electronic health records (EHRs) is time consuming and complex. We hypothesize that natural…”
Get full text

Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models by Vilouras, Konstantinos, Sanchez, Pedro, O'Neil, Alison Q., Tsaftaris, Sotirios A.

“…Localizing the exact pathological regions in a given medical scan is an important imaging problem that traditionally requires a large amount of bounding box…”
Get full text

Survey: Leakage and Privacy at Inference Time by Jegorova, Marija, Kaul, Chaitanya, Mayor, Charlie, O'Neil, Alison Q., Weir, Alexander, Murray-Smith, Roderick, Tsaftaris, Sotirios A.

“…Leakage of data from publicly available Machine Learning (ML) models is an area of growing significance since commercial and government applications of ML can…”
Get full text

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images by Zimmerer, David, Full, Peter M., Isensee, Fabian, Jager, Paul, Adler, Tim, Petersen, Jens, Kohler, Gregor, Ross, Tobias, Reinke, Annika, Kascenas, Antanas, Jensen, Bjorn Sand, O'Neil, Alison Q., Tan, Jeremy, Hou, Benjamin, Batten, James, Qiu, Huaqi, Kainz, Bernhard, Shvetsova, Nina, Fedulova, Irina, Dylov, Dmitry V., Yu, Baolun, Zhai, Jianyang, Hu, Jingtao, Si, Runxuan, Zhou, Sihang, Wang, Siqi, Li, Xinyang, Chen, Xuerun, Zhao, Yang, Marimont, Sergio Naval, Tarroni, Giacomo, Saase, Victor, Maier-Hein, Lena, Maier-Hein, Klaus

“…Detecting Out-of-Distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the…”
Get full text

Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers by Jacenkow, Grzegorz, O'Neil, Alison Q., Tsaftaris, Sotirios A.

“…When a clinician refers a patient for an imaging exam, they include the reason (e.g. relevant patient history, suspected disease) in the scan request; this…”
Get full text

Anomaly Detection via Context and Local Feature Matching by Kascenas, Antanas, Young, Rory, Jensen, Bjorn Sand, Pugeault, Nicolas, O'Neil, Alison Q.

“…Unsupervised anomaly detection in medical imaging is an exciting prospect due to the option of training only on healthy data, without the need for expensive…”
Get full text

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports by Casey, Arlene, Davidson, Emma, Grover, Claire, Tobin, Richard, Grivas, Andreas, Zhang, Huayu, Schrempf, Patrick, O'Neil, Alison Q, Lee, Liam, Walsh, Michael, Pellie, Freya, Ferguson, Karen, Cvoro, Vera, Wu, Honghan, Whalley, Heather, Mair, Grant, Whiteley, William, Alex, Beatrice

“…Natural language processing (NLP) has the potential to automate the reading of radiology reports, but there is a need to demonstrate that NLP methods are…”
Get full text

Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models by Vilouras, Konstantinos, Sanchez, Pedro, O'Neil, Alison Q, Tsaftaris, Sotirios A

“…Localizing the exact pathological regions in a given medical scan is an important imaging problem that requires a large amount of bounding box ground truth…”
Get full text

Diffusion Models for Causal Discovery via Topological Ordering by Sanchez, Pedro, Liu, Xiao, O'Neil, Alison Q, Tsaftaris, Sotirios A

“…The Eleventh International Conference on Learning Representations (2023) Discovering causal relations from observational data becomes possible with additional…”
Get full text

Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis by Phitidis, Jesse, O'Neil, Alison Q, Whiteley, William N, Alex, Beatrice, Wardlaw, Joanna M, Bernabeu, Miguel O, Hernández, Maria Valdés

“…Cerebrovascular diseases (CVD) can lead to stroke and dementia. Stroke is the second leading cause of death world wide and dementia incidence is increasing by…”
Get full text

Group Distributionally Robust Knowledge Distillation by Vilouras, Konstantinos, Liu, Xiao, Sanchez, Pedro, O'Neil, Alison Q, Tsaftaris, Sotirios A

“…Knowledge distillation enables fast and effective transfer of features learned from a bigger model to a smaller one. However, distillation objectives are…”
Get full text

Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers by Jacenków, Grzegorz, O'Neil, Alison Q, Tsaftaris, Sotirios A

“…When a clinician refers a patient for an imaging exam, they include the reason (e.g. relevant patient history, suspected disease) in the scan request; this…”
Get full text

Automated clinical coding using off-the-shelf large language models by Boyle, Joseph S, Kascenas, Antanas, Lok, Pat, Liakata, Maria, O'Neil, Alison Q

“…The task of assigning diagnostic ICD codes to patient hospital admissions is typically performed by expert human coders. Efforts towards automated ICD coding…”
Get full text