Polymorphism Data Can Reveal the Origin of Species Abundance Statistics. - Yosef E. Maruvka; Nadav M. Shnerb (PLoS Comput. Biol., 2009)

Comparing Algorithms That Reconstruct Cell Lineage Trees Utilizing Information on Microsatellite Mutations. - Noa Chapal-Ilani; Yosef E. Maruvka; Adam Spiro; Yitzhak Reizel; Rivka Adar; Liran I. Shlush; Ehud Shapiro (PLoS Comput. Biol., 2013)

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. - Esther Rheinbay; Morten Muhlig Nielsen; Federico Abascal; Jeremiah Wala; Ofer Shapira; Grace Tiao; Henrik Hornshøj; Julian M. Hess; Randi Istrup Juul; Ziao Lin; Lars Feuerbach; Radhakrishnan Sabarinathan; et al. (Nat., 2020)

Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings. - Daniel Shats; Hadar Hezi; Guy Shani; Yosef E. Maruvka; Moti Freiman (ECCV Workshops (3), 2022)

An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images. - Guy Shani; Moti Freiman; Yosef E. Maruvka (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images. - Hadar Hezi; Daniel Shats; Daniel Gurevich; Yosef E. Maruvka; Moti Freiman (CoRR, 2023)

Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification. - Sharon Peled; Yosef E. Maruvka; Moti Freiman (CoRR, 2024)

CIMIL-CRC: A clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained images. - Hadar Hezi; Matan Gelber; Alexander Balabanov; Yosef E. Maruvka; Moti Freiman (Comput. Methods Programs Biomed., 2025)

PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification. - Sharon Peled; Yosef E. Maruvka; Moti Freiman (CoRR, 2025)