Alexander Schlaefer
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Explore the profile of Alexander Schlaefer including associated specialties, affiliations and a list of published articles.
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Articles
78
Citations
432
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Recent Articles
1.
Neidhardt M, Latus S, Eixmann T, Huttmann G, Schlaefer A
IEEE Trans Med Imaging
. 2025 Mar;
PP.
PMID: 40030355
Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via clinical imaging systems, e.g., ultrasound or magnetic resonance imaging. Typically, the image based approaches...
2.
Behrendt F, Bhattacharya D, Mieling R, Maack L, Kruger J, Opfer R, et al.
Comput Biol Med
. 2025 Jan;
186:109660.
PMID: 39847946
The application of supervised models to clinical screening tasks is challenging due to the need for annotated data for each considered pathology. Unsupervised Anomaly Detection (UAD) is an alternative approach...
3.
Haussler S, Betz C, Della Seta M, Eggert D, Schlaefer A, Bhattacharya D
Laryngoscope
. 2025 Jan;
135(4):1301-1308.
PMID: 39744768
Objective: Automatic segmentation and detection of vestibular schwannoma (VS) in MRI by deep learning is an upcoming topic. However, deep learning faces generalization challenges due to tumor variability even though...
4.
Jha D, Sharma V, Banik D, Bhattacharya D, Roy K, Hicks S, et al.
Med Image Anal
. 2024 Sep;
99:103307.
PMID: 39303447
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can...
5.
Bhattacharya D, Reuter K, Behrendt F, Maack L, Grube S, Schlaefer A
Int J Comput Assist Radiol Surg
. 2024 Aug;
19(10):2111-2119.
PMID: 39115609
Purpose: Commonly employed in polyp segmentation, single-image UNet architectures lack the temporal insight clinicians gain from video data in diagnosing polyps. To mirror clinical practices more faithfully, our proposed solution,...
6.
Grube S, Latus S, Behrendt F, Riabova O, Neidhardt M, Schlaefer A
Int J Comput Assist Radiol Surg
. 2024 Jul;
19(10):1975-1981.
PMID: 39002100
Purpose: Clinical needle insertion into tissue, commonly assisted by 2D ultrasound imaging for real-time navigation, faces the challenge of precise needle and probe alignment to reduce out-of-plane movement. Recent studies...
7.
Bhattacharya D, Behrendt F, Becker B, Maack L, Beyersdorff D, Petersen E, et al.
Int J Comput Assist Radiol Surg
. 2024 Jun;
19(9):1713-1721.
PMID: 38850438
Purpose: Paranasal anomalies, frequently identified in routine radiological screenings, exhibit diverse morphological characteristics. Due to the diversity of anomalies, supervised learning methods require large labelled dataset exhibiting diverse anomaly morphology....
8.
Sogancioglu E, van Ginneken B, Behrendt F, Bengs M, Schlaefer A, Radu M, et al.
IEEE Trans Med Imaging
. 2024 Mar;
43(8):2839-2853.
PMID: 38530714
Pulmonary nodules may be an early manifestation of lung cancer, the leading cause of cancer-related deaths among both men and women. Numerous studies have established that deep learning methods can...
9.
Bhattacharya D, Becker B, Behrendt F, Beyersdorff D, Petersen E, Petersen M, et al.
Laryngoscope
. 2024 Mar;
134(9):3927-3934.
PMID: 38520698
Objective: Computer aided diagnostics (CAD) systems can automate the differentiation of maxillary sinus (MS) with and without opacification, simplifying the typically laborious process and aiding in clinical insight discovery within...
10.
Bhattacharya D, Latus S, Behrendt F, Thimm F, Eggert D, Betz C, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38082740
Needle positioning is essential for various medical applications such as epidural anaesthesia. Physicians rely on their instincts while navigating the needle in epidural spaces. Thereby, identifying the tissue structures may...