Michal Jelen

Prof. Dr. Michal Jelen


Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
31 January 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
LJLukasz Jelen
Lukasz Jelen
ISIzabela Stankiewicz-Antosz
Izabela Stankiewicz-Antosz
MCMaria Chosia
Maria Chosia
MJMichal Jelen
Michal Jelen
The main purpose of cervical cancer diagnosis is a correct and rapid detection of the disease and the determination of its histological type. This study investigates the effectiveness of combining handcrafted feature-based methods with convolutional neural networks for the determination of cancer histological type, emphasizing the role of feature selection in enhancing classification accuracy. Here, a data set of liquid-based cytology images was analyzed and a set of handcrafted morphological features was introduced. Furthermore, features were optimized through advanced selection techniques, including stepwise and significant feature selection, to reduce feature dimensionality while retaining critical diagnostic information. These reduced feature sets were evaluated using several classifiers including support vector machines and compared with CNN-based approach, highlighting differences in accuracy and precision. The results demonstrate that optimized feature sets, paired with SVM classifiers, achieve classification performance comparable to those of CNNs while significantly reducing computational complexity. This finding underscores the potential of feature reduction techniques in creating efficient diagnostic frameworks. The study concludes that while convolutional neural networks offer robust classification capabilities, optimized handcrafted features remain a viable and cost-effective alternative, particularly when the data count is limited. This work contributes to advancing automated diagnostic systems by balancing accuracy, efficiency, and interpretability.

1 June 1994 in Journal of Pediatric Surgery
Verified
Journal Article
Closed access
DPDariusz Patkowski
Dariusz Patkowski
JCJerzy Czernik
Jerzy Czernik
MJMichal Jelen
Michal Jelen

1 June 2020 in Translational Cancer Research
Verified
Journal Article
Open access
PDF file
ŁSŁukasz Szpon
Łukasz Szpon
AAAnil Agrawal
Anil Agrawal
MJMichal Jelen
Michal Jelen
ALArtur Lipinski
Artur Lipinski
JRJerzy Rudnicki
Jerzy Rudnicki
SASiddarth Agrawal
Siddarth Agrawal
Background: ARID1A (also known as BAF250a, p270 or SMARCF1) is a major component of the mammalian SWI/SNF family that is involved in the regulation of the chromatin structure. ARID1A gene mutations have been associated with many types of malignancies, including breast cancer. This study aimed to explore the expression of BAF250a protein in breast cancer and its association with the clinical and pathological characteristics and prognosis of breast cancer. Methods: We assessed the BAF250a expression in 119 invasive breast carcinomas samples and 92 healthy control and correlated this expression pattern with various clinical and pathologic parameters including histologic type and grade, tumor size, lymph node status, estrogen receptor (ER) status, progesterone receptor (PR) status. Immunohistochemical analysis of BAF250a, ER, PR, was carried out, and evaluation of stainings was performed. Results: The mean value of BAF250a expression in the experimental group was higher than in healthy control (P=0.001). The expression is unrelated to age, menopausal status, lymph node status, tumor size and location, grade and histologic type of tumor, and hormonal status (ER, PR). Conclusions: These data suggest that BAF250a is overexpressed in breast cancers. BAF250a may play context-dependent tumor-promoting and tumor-suppressive roles in cancer.

Verified
Journal Article
Open access
PDF file
MMMałgorzata Barbara Makowska-Rezaie
Małgorzata Barbara Makowska-Rezaie
MJMichal Jelen
Michal Jelen
MBMARZENNA BARTOSZEWICZ
MARZENNA BARTOSZEWICZ
TKTomasz Korzeniowski
Tomasz Korzeniowski
Maria Kamila Klimeczek ChrapustaMaria Kamila Klimeczek Chrapusta
Maria Kamila Klimeczek Chrapusta
ACAnna Marta Chrapusta
Anna Marta Chrapusta
The local treatment of deep burn wounds involves the excision of the necrosis and covering the wounds with skin grafts. Surgical procedures are thought to have an impact on the inflammatory response, especially in severe burn patients requiring treatment in an intensive care unit. Currently, there are no available data in the literature regarding the correlation of the type of surgical procedure and the levels of the inflammatory markers. This study investigates the importance of monitoring c-reactive protein (CRP) around the time of surgical burn procedures and how it can aid in assessing the inflammatory response. Of the 810 burn patients, 93 patients aged 20 to 74 years with IIb- and III-degree burns covering 20% to 50% of the total burned body surface were included in this prospective study. Three subgroups were recognized based on the surgical procedure performed: fascial necrectomy, tangential necrectomy, and skin grafting. The research material included blood samples collected in the early postoperative hours. A total of 270 CRP level measurements were performed. A reduction in CRP levels was observed three hours post-procedure in patients who underwent skin harvesting for grafting. Conversely, a significant increase in CRP levels was noted between postoperative timepoints in patients who underwent tangential necrectomy.