nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Acknowledgement to scientific referees 2022
|
|
|
|
40 |
2 |
p. 213-214 |
artikel |
2 |
Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks
|
Jiang, Victoria S. |
|
|
40 |
2 |
p. 251-257 |
artikel |
3 |
Association between donor gamete use and supernumerary embryo disposition decisions
|
Tsai, Shelun |
|
|
40 |
2 |
p. 371-379 |
artikel |
4 |
Assuring quality in assisted reproduction laboratories: assessing the performance of ART Compass — a digital art staff management platform
|
Curchoe, Carol Lynn |
|
|
40 |
2 |
p. 265-278 |
artikel |
5 |
Autophagy-related gene and protein expressions during blastocyst development
|
Adel, Nehal |
|
|
40 |
2 |
p. 323-331 |
artikel |
6 |
Correction to: Adaptive data-driven models to best predict the likelihood of live birth as the IVF cycle moves on and for each embryo transfer
|
Grzegorczyk-Martin, Véronika |
|
|
40 |
2 |
p. 429 |
artikel |
7 |
Correlation of peripheral blood and endometrial immunophenotyping in ART: is peripheral blood sampling useful?
|
Marron, Kevin |
|
|
40 |
2 |
p. 381-387 |
artikel |
8 |
COVID-19 is not a causal risk for miscarriage: evidence from a Mendelian randomization study
|
Shi, Huangcong |
|
|
40 |
2 |
p. 333-341 |
artikel |
9 |
Delayed blastocyst development is influenced by the level of progesterone on the day of trigger
|
Villanacci, Roberta |
|
|
40 |
2 |
p. 361-370 |
artikel |
10 |
Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning
|
Amitai, Tamar |
|
|
40 |
2 |
p. 309-322 |
artikel |
11 |
Factors influencing the number of mature oocytes and cryopreservable blastocysts in hyperresponder patients triggered with a GnRH analog
|
Kahraman, Semra |
|
|
40 |
2 |
p. 407-416 |
artikel |
12 |
Granulosa cells from immature follicles exhibit restricted glycolysis and reduced energy production: a dominant problem in polycystic ovary syndrome
|
Mazloomi, Sahar |
|
|
40 |
2 |
p. 343-359 |
artikel |
13 |
Laser-assisted hatching improves pregnancy outcomes in frozen-thawed embryo transfer cycles of cleavage-stage embryos: a large retrospective cohort study with propensity score matching
|
Wei, Chaofeng |
|
|
40 |
2 |
p. 417-427 |
artikel |
14 |
Looking with new eyes: advanced microscopy and artificial intelligence in reproductive medicine
|
Gill, Mark E. |
|
|
40 |
2 |
p. 235-239 |
artikel |
15 |
New frontiers in embryo selection
|
Glatstein, Isaac |
|
|
40 |
2 |
p. 223-234 |
artikel |
16 |
PIEZO-ICSI increases fertilization rates compared with conventional ICSI in patients with poor prognosis
|
Caddy, Melissa |
|
|
40 |
2 |
p. 389-398 |
artikel |
17 |
Prediction of risk factors for first trimester pregnancy loss in frozen-thawed good-quality embryo transfer cycles using machine learning algorithms
|
Ozer, Gonul |
|
|
40 |
2 |
p. 279-288 |
artikel |
18 |
Proceedings of the first world conference on AI in fertility
|
Curchoe, Carol Lynn |
|
|
40 |
2 |
p. 215-222 |
artikel |
19 |
Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI)
|
Cherouveim, Panagiotis |
|
|
40 |
2 |
p. 241-249 |
artikel |
20 |
The DIY IVF cycle—harnessing the power of deeptech to bring ART to the masses
|
Brayboy, Lynae M. |
|
|
40 |
2 |
p. 259-263 |
artikel |
21 |
The making and managing of a niche for artificial intelligence in reproductive medicine
|
Albertini, David F. |
|
|
40 |
2 |
p. 211-212 |
artikel |
22 |
The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status
|
Jiang, Victoria S. |
|
|
40 |
2 |
p. 301-308 |
artikel |
23 |
Transabdominal ultrasound–guided oocyte retrieval for oocyte cryopreservation using a vaginal probe: a comparison of applicability, effectiveness, and safety with conventional transvaginal approach
|
Sönmezer, Meltem |
|
|
40 |
2 |
p. 399-405 |
artikel |
24 |
Utilization of standardized preimplantation genetic testing for aneuploidy (PGT-A) via artificial intelligence (AI) technology is correlated with improved pregnancy outcomes in single thawed euploid embryo transfer (STEET) cycles
|
Buldo-Licciardi, Julia |
|
|
40 |
2 |
p. 289-299 |
artikel |