Work

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-87589-3_41

Authors: Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci

Institutions: Northwestern University, Ege University, Nvidia (United States), University of Catania, Columbia University Irving Medical Center, National Institutes of Health, National Cancer Institute

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic Tumors, G4139189009, Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and Diagnosis

OpenAlex ID: W3145429668

FWCI: 1.155

Cites: 18

Cited by: 12

Related to: 20