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20112024
most citedGBM Volumetry using the 3D Slicer Medical Image Computing Platform

259 citations · 772 across the 28 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

eess.IV2023

Classification of lung cancer subtypes on CT images with synthetic pathological priors

Wentao Zhu, Yuan Jin, Gege Ma +4

The accurate diagnosis on pathological subtypes for lung cancer is of significant importance for the follow-up treatments and prognosis managements. In this paper, we propose self-…

cs.CV2023

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang +154

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…

cs.AI2023

Apple Vision Pro for Healthcare: "The Ultimate Display"? -- Entering the Wonderland of Precision Medicine

Jan Egger, Christina Gsaxner, Xiaojun Chen +3

At the Worldwide Developers Conference (WWDC) in June 2023, Apple introduced the Vision Pro. The Vision Pro is a Mixed Reality (MR) headset, more specifically it is a Virtual Reali…

cs.LG2023

FAM: Relative Flatness Aware Minimization

Linara Adilova, Amr Abourayya, Jianning Li +5

Flatness of the loss curve around a model at hand has been shown to empirically correlate with its generalization ability. Optimizing for flatness has been proposed as early as 199…

cs.CV2023

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries

Frederic Jonske, Moon Kim, Enrico Nasca +8

It is an open secret that ImageNet is treated as the panacea of pretraining. Particularly in medical machine learning, models not trained from scratch are often finetuned based on…

eess.IV2023

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

Fabian Hörst, Moritz Rempe, Lukas Heine +8

Nuclei detection and segmentation in hematoxylin and eosin-stained (H&E) tissue images are important clinical tasks and crucial for a wide range of applications. However, it is a c…