William Lotter

24 papers Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do Pathology Foundation Models Encode Disease Progression? A Pseudotime Analysis of Visual Representations. CoRR Pritika Vig, Renchin Wu, William Lotter
2026	J	`jnl`	FDA AI Search: Making FDA-Authorized AI Devices Searchable. CoRR Arun Kavishwar, William Lotter
2025	J	`jnl`	AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics. CoRR Stella Su, Marc Harary, Scott J. Rodig, William Lotter
2025	J	`jnl`	Beyond Diagnosis: Evaluating Multimodal LLMs for Pathology Localization in Chest Radiographs. CoRR Advait Gosai, Arun Kavishwar, Stephanie L. McNamara, Soujanya Samineni, Renato Umeton, Alexander Chowdhury, William Lotter
2025	J	`jnl`	Comparing Computational Pathology Foundation Models using Representational Similarity Analysis. CoRR Vaibhav Mishra, William Lotter
2025	J	`jnl`	How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations. npj Digit. Medicine Rohan Singh, Monika Bapna, Abdul Rahman Diab, Emily S. Ruiz, William Lotter
2025	J	`jnl`	Leveraging Foundation Models for Histological Grading in Cutaneous Squamous Cell Carcinoma using PathFMTools. CoRR Abdul Rahman Diab, Emily E. Karn, Renchin Wu, Emily S. Ruiz, William Lotter
2025	J	`jnl`	Simulating Clinical AI Assistance using Multimodal LLMs: A Case Study in Diabetic Retinopathy. CoRR Nadim Barakat, William Lotter
2024	—	`conf`	Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification. MIDL Katharina V. Hoebel, Jesseba Fernando, William Lotter
2024	J	`jnl`	Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion. CoRR Marc Harary, Eliezer M. Van Allen, William Lotter
2024	J	`jnl`	The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. npj Digit. Medicine Stephanie L. McNamara, Paul H. Yi, William Lotter
2023	—	`conf`	Representing visual classification as a linear combination of words. ML4H@NeurIPS Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter
2023	J	`jnl`	Representing visual classification as a linear combination of words. CoRR Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter
2020	J	`jnl`	A neural network trained for prediction mimics diverse features of biological neurons and perception. Nat. Mach. Intell. William Lotter, Gabriel Kreiman, David D. Cox
2020	J	`jnl`	Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms. CoRR Eric Wu, Kevin Wu, William Lotter
2019	J	`jnl`	Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. CoRR William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal Vijayaraghavan, A. Gregory Sorensen
2018	J	`jnl`	A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception. CoRR William Lotter, Gabriel Kreiman, David D. Cox
2018	—	`conf`	Conditional Infilling GANs for Data Augmentation in Mammogram Classification. RAMBO+BIA+TIA@MICCAI Eric Wu, Kevin Wu, David D. Cox, William Lotter
2018	J	`jnl`	Conditional Infilling GANs for Data Augmentation in Mammogram Classification. CoRR Eric Wu, Kevin Wu, David D. Cox, William Lotter
2017	J	`jnl`	A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification. CoRR William Lotter, Greg Sorensen, David D. Cox
2017	—	`conf`	A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification. DLMIA/ML-CDS@MICCAI William Lotter, Greg Sorensen, David D. Cox
2017	—	`conf`	Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. ICLR (Poster) William Lotter, Gabriel Kreiman, David D. Cox
2016	J	`jnl`	Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. CoRR William Lotter, Gabriel Kreiman, David D. Cox
2015	J	`jnl`	Unsupervised Learning of Visual Structure using Predictive Generative Networks. CoRR William Lotter, Gabriel Kreiman, David D. Cox