Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology. - Brendon Lutnick; John Tomaszewski 001; Pinaki Sarder (Digital Pathology, 2017)

Glomerular detection and segmentation from multimodal microscopy images using a Butterworth band-pass filter. - Darshana Govind; Brandon Ginley; Brendon Lutnick; John Tomaszewski 001; Pinaki Sarder (Digital Pathology, 2018)

Deep variational auto-encoders for unsupervised glomerular classification. - Brendon Lutnick; Rabi Yacoub; Kuang-Yu Jen; John Tomaszewski 001; Sanjay Jain 006; Pinaki Sarder (Digital Pathology, 2018)

Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis. - Brendon Lutnick; Brandon Ginley; Darshana Govind; Sean D. McGarry; Peter S. LaViolette; Rabi Yacoub; Sanjay Jain 006; John Tomaszewski 001; Kuang-Yu Jen; Pinaki Sarder (CoRR, 2018)

An integrated iterative annotation technique for easing neural network training in medical image analysis. - Brendon Lutnick; Brandon Ginley; Darshana Govind; Sean D. McGarry; Peter S. LaViolette; Rabi Yacoub; Sanjay Jain 006; John Tomaszewski 001; Kuang-Yu Jen; Pinaki Sarder (Nat. Mach. Intell., 2019)

Generative modeling for label-free glomerular modeling and classification. - Brendon Lutnick; Brandon Ginley; Kuang-Yu Jen; Wen Dong 001; Pinaki Sarder (Digital Pathology, 2020)

Generative modeling for renal microanatomy. - Leema Krishna Murali; Brendon Lutnick; Brandon Ginley; John Tomaszewski 001; Pinaki Sarder (Digital Pathology, 2020)

Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology. - Brendon Lutnick; Wen Dong 001; Zohar Nussinov; Pinaki Sarder (CoRR, 2020)

In silico multi-compartment detection based on multiplex immunohistochemical staining in renal pathology. - Kuang-Yu Jen; Leema Krishna Murali; Brendon Lutnick; Brandon Ginley; Darshana Govind; Hidetoshi Mori; Guofeng Gao; Pinaki Sarder (Digital Pathology, 2021)

User friendly, cloud based, whole slide image segmentation. - Brendon Lutnick; Avinash Kammardi Shashiprakash; David Manthey; Pinaki Sarder (Digital Pathology, 2021)

A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. - Avinash Kammardi Shashiprakash; Brendon Lutnick; Brandon Ginley; Darshana Govind; Nicholas J. Lucarelli; Kuang-Yu Jen; Avi Z. Rosenberg; Anatoly Urisman; Vighnesh Walavalkar; Jonathan E. Zuckerman; Marco Delsante; Mei Lin Z. Bissonnette; et al. (Digital Pathology, 2021)

Histo-fetch - On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training. - Brendon Lutnick; Leema Krishna Murali; Brandon Ginley; Pinaki Sarder (CoRR, 2021)

A cloud-based tool for federated segmentation of whole slide images. - Brendon Lutnick; David Manthey; Jan U. Becker; Jonathan E. Zuckerman; Luis Rodrigues; Kuang Yu Jen; Pinaki Sarder (Digital and Computational Pathology, 2022)

Generative modeling of histology tissue reduces human annotation effort for segmentation model development. - Brendon Lutnick; Nicholas J. Lucarelli; Pinaki Sarder (Digital and Computational Pathology, 2023)

PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks. - Sharif Amit Kamran; Molly V. Lucas; Brendon Lutnick; Chaitanya Parmar; Basudha Pal; Asha Patel Shah; David Apfel; Steven Fakharzadeh; Lloyd Miller; Stephen S. F. Yip; Kristopher Standish; Gabriela Oana Cula (ISBI, 2025)

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification. - Basudha Pal; Sharif Amit Kamran; Brendon Lutnick; Molly V. Lucas; Chaitanya Parmar; Asha Patel Shah; David Apfel; Steven Fakharzadeh; Lloyd Miller; Gabriela Oana Cula; Kristopher Standish (CoRR, 2025)