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B. Kann

6 papers hereh-index 8289 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • physics.med-ph2
  • cs.CL1
same name
  • B. Kann — 5 papers, h 10
  • B. Kann — 2 papers, h 24
  • B. Kann — 2 papers, h 2
  • B. Kann — 2 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedVision Foundation Models for Computed Tomography

7 citations · 18 across the 6 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

physics.med-ph2025

Clinical Validation and Prospective Deployment of an Automated Deep Learning-Based Coronary Segmentation and Cardiac Toxicity Risk Prediction System

Christian V. Guthier, Christopher E Kehayias, Cosmin Ciausu +15

Importance: Coronary algorithm for cardiac sub structures and prospective real-time surveillance of cardiac dose exposure. Methods: Retro and prospective study to validate AI auto-…

eess.IV2025★ 1 cited

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)

Fridolin Haugg, Grace Lee, John He +14

Background: Facial appearance offers a noninvasive window into health. We built FAHR-Face, a foundation model trained on >40 million facial images and fine-tuned it for two distinc…

eess.IV2025★ 7 cited

Vision Foundation Models for Computed Tomography

Suraj Pai, Ibrahim Hadzic, Dennis Bontempi +5

Foundation models (FMs) have shown transformative potential in radiology by performing diverse, complex tasks across imaging modalities. Here, we developed CT-FM, a large-scale 3D…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.