Maria Colomba Comes

About Maria Colomba Comes

Maria Colomba Comes, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Università degli Studi di Roma Tor Vergata, specializes in the field of image and signal processing, data analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy

CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data

Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis

# 298 An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy

Machine Learning Microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for Red Blood Cell plasticity evaluation in Pyruvate Kinase …

Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer

Analyzing breast cancer invasive disease event classification through explainable artificial intelligence

Assessing the cost-effectiveness of waiting list reduction strategies for a breast radiology department: a real-life case study

Maria Colomba Comes Information

University

Position

___

Citations(all)

514

Citations(since 2020)

507

Cited By

55

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Università degli Studi di Roma Tor Vergata

Google Scholar

View Google Scholar Profile

Maria Colomba Comes Skills & Research Interests

image and signal processing

data analysis

Top articles of Maria Colomba Comes

Title

Journal

Author(s)

Publication Date

Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy

Computers in Biology and Medicine

Maria Colomba Comes

Annarita Fanizzi

Samantha Bove

Vittorio Didonna

Sergio Diotiaiuti

...

2024/4/1

CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data

bioRxiv

Franck Simon

Maria Colomba Comes

Tiziana Tocci

Louise Dupuis

Vincent Cabeli

...

2024

Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis

Communications Biology

A Mencattini

M D’Orazio

P Casti

MC Comes

D Di Giuseppe

...

2023/3/3

# 298 An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy

Francesca Arezzo

Gennaro Cormio

Erica Silvestris

Anila Kardhashi

Ambrogio Cazzolla

...

2023/9/1

Machine Learning Microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for Red Blood Cell plasticity evaluation in Pyruvate Kinase …

Sensors and Actuators A: Physical

A Mencattini

V Rizzuto

G Antonelli

D Di Giuseppe

M D’Orazio

...

2023/3/1

Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer

Scientific Reports

Annarita Fanizzi

Domenico Pomarico

Alessandro Rizzo

Samantha Bove

Maria Colomba Comes

...

2023/5/26

Analyzing breast cancer invasive disease event classification through explainable artificial intelligence

Frontiers in Medicine

Raffaella Massafra

Annarita Fanizzi

Nicola Amoroso

Samantha Bove

Maria Colomba Comes

...

2023/2/2

Assessing the cost-effectiveness of waiting list reduction strategies for a breast radiology department: a real-life case study

BMC Health Services Research

Annarita Fanizzi

Elisabetta Graps

Domenica Antonia Bavaro

Marco Farella

Samantha Bove

...

2023/5/23

S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images

Expert Systems with Applications

P Casti

S Cardarelli

MC Comes

M D'Orazio

J Filippi

...

2023/12/1

An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy

Frontiers in Oncology

Maria Colomba Comes

Francesca Arezzo

Gennaro Cormio

Samantha Bove

Angela Calabrese

...

2023

Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence

Scientific Reports

Annarita Fanizzi

Federico Fadda

Maria Colomba Comes

Samantha Bove

Annamaria Catino

...

2023/11/23

A CT-based transfer learning approach to predict NSCLC recurrence: The added-value of peritumoral region

Plos one

Samantha Bove

Annarita Fanizzi

Federico Fadda

Maria Colomba Comes

Annamaria Catino

...

2023/5/2

A Machine Learning Approach for Predicting Capsular Contracture after Postmastectomy Radiotherapy in Breast Cancer Patients

Healthcare

Domenica Antonia Bavaro

Annarita Fanizzi

Serena Iacovelli

Samantha Bove

Maria Colomba Comes

...

2023/4/5

Prognostic power assessment of clinical parameters to predict neoadjuvant response therapy in HER2‐positive breast cancer patients: A machine learning approach

Cancer Medicine

Annarita Fanizzi

Agnese Latorre

Domenica Antonia Bavaro

Samantha Bove

Maria Colomba Comes

...

2023/11

An invasive disease event-free survival analysis to investigate Ki67 role with respect to breast cancer patients’ age: a retrospective cohort study

Cancers

Raffaella Massafra

Samantha Bove

Daniele La Forgia

Maria Colomba Comes

Vittorio Didonna

...

2022/4/28

Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer

Frontiers in Medicine

Annarita Fanizzi

Giovanni Scognamillo

Alessandra Nestola

Santa Bambace

Samantha Bove

...

2022/11/22

Robustness evaluation of a deep learning model on sagittal and axial breast DCE-MRIs to predict pathological complete response to neoadjuvant chemotherapy

Journal of Personalized Medicine

Raffaella Massafra

Maria Colomba Comes

Samantha Bove

Vittorio Didonna

Gianluca Gatta

...

2022/6/10

DeepCEL0 for 2D single-molecule localization in fluorescence microscopy

Bioinformatics

Pasquale Cascarano

Maria Colomba Comes

Andrea Sebastiani

Arianna Mencattini

Elena Loli Piccolomini

...

2022/3/1

1281 Recurrence prediction in cutaneous melanoma patients by exploiting deep learning on H&E slide images

Michele Guida

Maria Colomba Comes

Livia Fucci

Sabino Strippoli

Samantha Bove

...

2022/11/1

Pathological complete response to neoadjuvant chemoimmunotherapy for early triple-negative breast cancer: an updated meta-analysis

ecancermedicalscience

Benjamín Walbaum

Francisco Acevedo

Lidia Medina

M Loreto Bravo

Tomas Merino

...

2021

See List of Professors in Maria Colomba Comes University(Università degli Studi di Roma Tor Vergata)

Co-Authors

H-index: 48
Eugenio Martinelli

Eugenio Martinelli

Università degli Studi di Roma Tor Vergata

H-index: 27
Arianna Mencattini

Arianna Mencattini

Università degli Studi di Roma Tor Vergata

H-index: 14
Paola Casti

Paola Casti

Università degli Studi di Roma Tor Vergata

H-index: 14
Davide Di Giuseppe

Davide Di Giuseppe

Università degli Studi di Roma Tor Vergata

H-index: 7
Joanna Filippi

Joanna Filippi

Università degli Studi di Roma Tor Vergata

H-index: 6
Pasquale Cascarano

Pasquale Cascarano

Università degli Studi di Bologna

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