Cristian A Linte
Overview
Explore the profile of Cristian A Linte including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
95
Citations
215
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Khanal B, Shrestha P, Amgain S, Khanal B, Bhattarai B, Linte C
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-6.
PMID: 40039337
Label noise in medical image classification datasets significantly hampers the training of supervised deep learning methods, undermining their generalizability. The test performance of a model tends to decrease as the...
2.
Yang Z, Simon R, Merrell K, Linte C
IEEE Trans Med Imaging
. 2025 Mar;
PP.
PMID: 40030471
In image-guided liver surgery, 3D-3D non-rigid registration methods play a crucial role in estimating the mapping between the preoperative model and the intraoperative surface represented as point clouds, addressing the...
3.
Tuladhar U, Simon R, Linte C, Richards M
J Med Imaging (Bellingham)
. 2025 Feb;
12(1):017001.
PMID: 39916991
Purpose: Ultrasound (US) elastography is a technique for non-invasive quantification of material properties, such as stiffness, from ultrasound images of deforming tissue. The material properties are calculated by solving the...
4.
Linte C, Yaniv Z, Chen E, Drouin S, Kersten-Oertel M, McLeod J, et al.
Healthc Technol Lett
. 2025 Jan;
12(1):e70000.
PMID: 39834896
No abstract available.
5.
Upendra R, Simon R, Shontz S, Linte C
Funct Imaging Model Heart
. 2024 Oct;
13958:375-383.
PMID: 39391840
Accurate cardiac motion estimation is a crucial step in assessing the kinematic and contractile properties of the cardiac chambers, thereby directly quantifying the regional cardiac function, which plays an important...
6.
Khanal B, Bhattarai B, Khanal B, Stoyanov D, Linte C
Med Image Underst Anal
. 2024 Aug;
14122:48-63.
PMID: 39156493
Acquiring properly annotated data is expensive in the medical field as it requires experts, time-consuming protocols, and rigorous validation. Active learning attempts to minimize the need for large annotated samples...
7.
Khanal B, Bhattarai B, Khanal B, Linte C
Data Eng Med Imaging (2023)
. 2024 Aug;
14314:78-90.
PMID: 39144367
Noisy labels hurt deep learning-based supervised image classification performance as the models may overfit the noise and learn corrupted feature extractors. For natural image classification training with noisy labeled data,...
8.
Young M, Yang Z, Simon R, Linte C
Data Eng Med Imaging (2023)
. 2024 Aug;
14314:91-101.
PMID: 39139984
Due to limited direct organ visualization, minimally invasive interventions rely extensively on medical imaging and image guidance to ensure accurate surgical instrument navigation and target tissue manipulation. In the context...
9.
Linte C, Yaniv Z, Chen E, Dou Q, Drouin S, Kalia M, et al.
Healthc Technol Lett
. 2024 Apr;
11(2-3):31-32.
PMID: 38638501
No abstract available.
10.
Hasan S, Simon R, Linte C
J Med Imaging (Bellingham)
. 2023 Aug;
10(4):045002.
PMID: 37649957
Purpose: Medical technology for minimally invasive surgery has undergone a paradigm shift with the introduction of robot-assisted surgery. However, it is very difficult to track the position of the surgical...