David Richmond

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Image Classification

Weakly Supervised

Fracture Detection

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond
Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening. CoRR (2024)
Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond
Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images. CoRR (2024)
Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond
Unsupervised Segmentation of Colonoscopy Images. CoRR (2023)
María V. Sainz de Cea, David Gruen, David Richmond
Pneumoperitoneum Detection In Chest X-Ray By A Deep Learning Ensemble With Model Explainability. ISBI (2021)
Sun Young Park, Dustin Sargent, David Richmond
Confidence-Guided Learning For Breast Density Classification. ISBI (2021)
Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond
Multi-task Learning for Detection and Classification of Cancer in Screening Mammography. MICCAI (6) (2020)
Dustin Sargent, Sun Young Park, Amod Jog, Aly A. Mohamed, David Richmond
Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning. MICCAI (6) (2020)
Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images. CoRR (2020)
Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images. ISBI (2020)
Chao Song, Maria V. Sainz de Cea, David Richmond
Reading Mammography with Multiple Prior Exams. ISBI (2020)
Sun Young Park, Dustin Sargent, David Richmond
Breast density follow-up decision support system using deep convolutional models. Medical Imaging: Computer-Aided Diagnosis (2019)
Yiting Xie, David Richmond
Pre-training on Grayscale ImageNet Improves Medical Image Classification. ECCV Workshops (6) (2018)
David Richmond, Anna Payne-Tobin Jost, Talley Lambert, Jennifer Waters, Hunter Elliott
DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets. CoRR (2017)