David Richmond

According to our database, David Richmond authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning Identifiable Factorized Causal Representations of Cellular Responses.

Haiyi Mao, Romain Lopez, Kai Liu, Jan-Christian Hütter, David Richmond, Panayiotis V. Benos, Lin Qiu

CoRR, 2024

Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images.

Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening.

Mahtab Bigverdi, Burkhard Höckendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unsupervised Segmentation of Colonoscopy Images.

Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond

CoRR, 2023

2021

Confidence-Guided Learning For Breast Density Classification.

Sun Young Park, Dustin Sargent, David Richmond

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Pneumoperitoneum Detection In Chest X-Ray By A Deep Learning Ensemble With Model Explainability.

María V. Sainz de Cea, David Gruen, David Richmond

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning.

Dustin Sargent, Sun Young Park, Amod Jog, Aly A. Mohamed, David Richmond

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multi-task Learning for Detection and Classification of Cancer in Screening Mammography.

Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images.

Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Reading Mammography with Multiple Prior Exams.

Chao Song, Maria V. Sainz de Cea, David Richmond

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Breast density follow-up decision support system using deep convolutional models.

Sun Young Park, Dustin Sargent, David Richmond

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Pre-training on Grayscale ImageNet Improves Medical Image Classification.

Yiting Xie, David Richmond

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets.

David Richmond, Anna Payne-Tobin Jost, Talley Lambert, Jennifer Waters, Hunter Elliott

CoRR, 2017