R. Rojansky

发表

Pitfalls in the Diagnosis of Nodular Lymphocyte Predominant Hodgkin Lymphoma: Variant Patterns, Borderlines and Mimics

Rebecca Rojansky, Y. Natkunam, D. Gratzinger, 2021, Cancers.

LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype

P. Rajpurkar, Rebecca Rojansky, Y. Natkunam, 2023, medRxiv.

Cutaneous T-cell lymphomas with pathogenic somatic mutations and absence of detectable clonal T-cell receptor gene rearrangement: two case reports

Ryanne A. Brown, Rebecca Rojansky, R. Novoa, 2020, Diagnostic Pathology.

Elimination of paternal mitochondria in mouse embryos occurs through autophagic degradation dependent on PARKIN and MUL1

Rebecca Rojansky, D. Chan, Moon‐Yong Cha, 2016, eLife.

Mitochondrial fusion is required for spermatogonial differentiation and meiosis

Michael J. Sweredoski, Rebecca Rojansky, R. Graham, 2019, eLife.

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine

Jonathan H. Chen, H. Stehr, D. Iberri, 2021, AMIA.

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

R. Socher, S. Savarese, Rebecca Rojansky, 2021, npj Digital Medicine.

Biological data annotation via a human-augmenting AI-based labeling interface

Richard Socher, Andre Esteva, Douwe van der Wal, 2021 .

DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set pdf

Andrew Y. Ng, Damir Vrabac, Akshay Smit, 2020, Scientific Data.

Pathology Education Powered by Virtual and Digital Transformation.

Rama R. Gullapalli, Rebecca Rojansky, L. Pantanowitz, 2022, Archives of pathology & laboratory medicine.

A Core Mitophagic Machinery Promotes Selective Degradation of Paternal Mitochondria in Mouse Embryos and MEF Cells

Rebecca Rojansky, R. Rojansky, 2016 .