activity
20232026
most citedSAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

HyKey: Hyperspectral Keypoint Detection and Matching in Minimally Invasive Surgery

Alexander Saikia, Chiara Di Vece, Zhehua Mao +6

Purpose: 3D reconstruction in minimally invasive surgery (MIS) enables enhanced surgical guidance through improved visualisation, tool tracking, and augmented reality. However, tra…

q-bio.OT2025★ 1 cited

Current validation practice undermines surgical AI development

Annika Reinke, Ziying O. Li, Minu D. Tizabi +98

Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…

cs.CV2025

SAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Alfie Roddan, Tobias Czempiel, Chi Xu +2

We present SAMSA 2.0, an interactive segmentation framework for hyperspectral medical imaging that introduces spectral angle prompting to guide the Segment Anything Model (SAM) usi…

cs.CV2025★ 1 cited

SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Alfie Roddan, Tobias Czempiel, Chi Xu +2

Hyperspectral imaging (HSI) provides rich spectral information for medical imaging, yet encounters significant challenges due to data limitations and hardware variations. We introd…

cs.CV2025

MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments

Ege Özsoy, Chantal Pellegrini, Tobias Czempiel +7

Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing surgical assista…

eess.IV2024

RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging

Tobias Czempiel, Alfie Roddan, Maria Leiloglou +5

This study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porci…

cs.RO2024

Robotic Arm Platform for Multi-View Image Acquisition and 3D Reconstruction in Minimally Invasive Surgery

Alexander Saikia, Chiara Di Vece, Sierra Bonilla +6

Minimally invasive surgery (MIS) offers significant benefits such as reduced recovery time and minimised patient trauma, but poses challenges in visibility and access, making accur…

cs.CV2023

Dynamic Scene Graph Representation for Surgical Video

Felix Holm, Ghazal Ghazaei, Tobias Czempiel +3

Surgical videos captured from microscopic or endoscopic imaging devices are rich but complex sources of information, depicting different tools and anatomical structures utilized du…