Jeffrey J. Nirschl

According to our database, Jeffrey J. Nirschl authored at least 6 papers between 2017 and 2025.

Collaborative distances:

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

2025

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.

Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Austin Wolfgang Katzer, Collin Chiu, Anita Rau, Xiaohan Wang, Yuhui Zhang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy

CoRR, January, 2025

2024

Revisiting Active Learning in the Era of Vision Foundation Models.

Sanket Rajan Gupte, Josiah Aklilu, Jeffrey J. Nirschl, Serena Yeung-Levy

Trans. Mach. Learn. Res., 2024

μ-Bench: A Vision-Language Benchmark for Microscopy Understanding.

Alejandro Lozano, Jeffrey J. Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang, Alyssa Unell, Serena Yeung-Levy

CoRR, 2024

Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding.

Alejandro Lozano, Jeffrey J. Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang, Alyssa Unell, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

Biological data annotation via a human-augmenting AI-based labeling system.

Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeffrey J. Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Y. Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva

npj Digit. Medicine, 2021

2017

Deep Learning Tissue Segmentation in Cardiac Histopathology Images.

Jeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017