David Richmond

23 papers A* 2Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incorporating contextual information into KGWAS for interpretable GWAS discovery. CoRR Cheng Jiang, Brady Ryan, Megan Crow, Kipper Fletez-Brant, Kashish Doshi, Sandra Melo Carlos, Kexin Huang, Burkhard Hoeckendorf, Heming Yao, David Richmond
2025	A*	`conf`	Contextualizing biological perturbation experiments through language. ICLR Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter
2025	J	`jnl`	Contextualizing biological perturbation experiments through language. CoRR Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter
2025	J	`jnl`	HypoGeneAgent: A Hypothesis Language Agent for Gene-Set Cluster Resolution Selection Using Perturb-seq Datasets. CoRR Ying Yuan, Xing-Yue Monica Ge, Aaron Archer Waterman, Tommaso Biancalani, David Richmond, Yogesh Pandit, Avtar Singh, Russell Littman, Jin Liu, Jan-Christian Huetter, Vladimir Ermakov
2025	J	`jnl`	Sparse Mixture-of-Experts for Multi-Channel Imaging: Are All Channel Interactions Required? CoRR Sukwon Yun, Heming Yao, Burkhard Hoeckendorf, David Richmond, Aviv Regev, Russell Littman
2025	J	`jnl`	Supervised Contrastive Block Disentanglement. CoRR Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Jan-Christian Huetter, Heming Yao, Burkhard Hoeckendorf, Ana Carolina Leote, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, Romain Lopez
2024	—	`conf`	Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening. CVPR Workshops Mahtab Bigverdi, Burkhard Höckendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond
2024	J	`jnl`	Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening. CoRR Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond
2024	A*	`conf`	Learning Identifiable Factorized Causal Representations of Cellular Responses. NeurIPS Haiyi Mao, Romain Lopez, Kai Liu, Jan-Christian Huetter, David Richmond, Panayiotis V. Benos, Lin Qiu
2024	J	`jnl`	Learning Identifiable Factorized Causal Representations of Cellular Responses. CoRR Haiyi Mao, Romain Lopez, Kai Liu, Jan-Christian Hütter, David Richmond, Panayiotis V. Benos, Lin Qiu
2024	—	`conf`	Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images. CVPR Workshops Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond
2024	J	`jnl`	Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images. CoRR Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond
2023	J	`jnl`	Unsupervised Segmentation of Colonoscopy Images. CoRR Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond
2021	—	`conf`	Confidence-Guided Learning For Breast Density Classification. ISBI Sun Young Park, Dustin Sargent, David Richmond
2021	—	`conf`	Pneumoperitoneum Detection In Chest X-Ray By A Deep Learning Ensemble With Model Explainability. ISBI María V. Sainz de Cea, David Gruen, David Richmond
2020	—	`conf`	Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images. ISBI Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
2020	J	`jnl`	Deep Learning based detection of Acute Aortic Syndrome in contrast CT images. CoRR Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek
2020	—	`conf`	Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning. MICCAI (6) Dustin Sargent, Sun Young Park, Amod Jog, Aly A. Mohamed, David Richmond
2020	—	`conf`	Multi-task Learning for Detection and Classification of Cancer in Screening Mammography. MICCAI (6) Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond
2020	—	`conf`	Reading Mammography with Multiple Prior Exams. ISBI Chao Song, Maria V. Sainz de Cea, David Richmond
2019	—	`conf`	Breast density follow-up decision support system using deep convolutional models. Computer-Aided Diagnosis Sun Young Park, Dustin Sargent, David Richmond
2018	—	`conf`	Pre-training on Grayscale ImageNet Improves Medical Image Classification. ECCV Workshops (6) Yiting Xie, David Richmond
2017	J	`jnl`	DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets. CoRR David Richmond, Anna Payne-Tobin Jost, Talley Lambert, Jennifer Waters, Hunter Elliott